ISSN 2320 - 9569 International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Volume 2, April Issue. (Online Journal) Published by Institute of Research in Engineering & Technology (IRET) Nagulapalli, Visakhapatnam, Andhrapradesh, India-531001 (www.iieee.co.in) International Journal of Emerging Trends in Electrical and Electronics ISSN-2320 – 9569 Editor in Chief Dr. TAN CHER MING International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Prof. in Nanyang Technological University (NTU) and Director of SIMTech-NTU Reliability Lab. Editorial Board Members: Dr. Dhrubes Biswas, Indian Institute of Technology, Kharagpur, India. Dr. Kishore Kumar T National Institute of Technology, Warangal, India. Dr. Rajesh Gupta Indian Institute of Technology Bombay, India. Dr. Gargi Khanna National Institute of Technology Hamirpur, India. Dr. Sumana Gupta Indian Institute of Technology Kanpur, India. Dr. K.S.Sandhu, Ntional Institute of Technology Kurukshetra, India. Dr. A.K.Saxena Indian Institute of Technology, Roorkee, India. Dr. Vijay Kumar Indian Institute of Technology Roorkee, India. Dr. Om Prakash Sahu National Institute of Technology, Kurukshetra, India. Dr. Shaibal Mukherjee Indian Institute of Technology Indore , India. Dr. K. P. Ghatak National Institute of Technology, Agartala, India. Dr. S.K. Parida Indian Institute of Technology Patna, India. Dr. Ajoy Kumar Chakraborty National Institute of Technology, Agartala, India. Dr. Manoj Kumar Meshram Indian Institute of Technology(BHU) India. Dr. SubhadeepBhattacharjee Ntional Institute of Technolgy (NIT), Agartala, India. Dr. SatyabrataJit Indian Institute of Technology (BHU), India. Dr. Rama Komaragiri National Institute of Technology Calicut, India. Dr. Surya Shankar Dan Indian Institute of Technology Hyderabad, India. Dr. Elizabeth Elias National Institute of Technology Calicut, India. Dr. Rajib Kumar Jha Indian Institute of Technology Ropar. Dr. S. Arul Daniel National Institute of Technology,Trichy, India. Dr. Amit Mishra Indian Institute of Technology Rajasthan, India. Dr. BidyadharSubudhi National Institute of Technology Rourkela, India. Dr. Maode Ma, Nanyang Technological University, Singapoore. i International Journal of Emerging Trends in Electrical and Electronics Dr. Umesh C. Pati National Institute of Technology Rourkela, India. Dr. ChiranjibKoley National Institute of Technology, Durgapur, India. Dr Ajay Somkuwar Maulana Azad National Institute of Technology Bhopal, India. Dr. M. Mariya Das Andhra University, Pradesh, India. Dr. SumitKundu National Institute of Technology, Durgapur, India. Andhra Dr. A. Shunmugalatha Velammal College of Eng. & Tech. Madurai. Dr. Aniruddha Chandra National Institute of Technology, Durgapur, India. Dr. R. Dhanasekaran SAEC College of Engineering, Chennai, India. Dr. Nidul Sinha National Institute of Technology, Silchar, India. Dr. A. Banumathi Thiagarajar college of Engineering, Madurai, India. Dr. JishanMehedi National Institute of Technology Silchar, India. Prof. Anoop Arya M.A.N.I.T(Deemed University),Bhopal, India. Dr. Vivekanand Mishra SV National Institute of Technology, Surat, India. Mr. Navneet Kumar Singh MNNIT Allahabad, India. Dr. SwapnajitPattnaik Visvesvaraya National Institute of Technology, India. of Visakhapatnam, Dr. S. Titis M.A.M College of Engineering, Tiruchirapalli, Tamilnadu, India. Dr. RajibKar National Institute of Technology, Durgapur, India. Dr. Deepak Kumar M.N. National Institute Allahabad, India ISSN-2320 – 9569 Mr. BimanDebbarma NIT Agartala, India Ms. LaxmiKumre MANIT, Bhopal, India. Technology Miss. Joyashree Das NIT Agartala, India. Dr. ShwetaTripathi MNNIT-Allahabad, India. Dr. JishanMehedi National Institute of Technology Silchar, India. Mr. Santosh Kumar Gupta Nehru National Institute (MNNIT), Allahabad, India. Dr. Balwinder Raj National Institute of Technology Jalandhar, India. M r. Mohamed. A. Elbesealy Assuit University, Egypt. Dr . S C Gupta Maulana Azad National Institute of Technology, Bhopal, India. Mr. Hadeed Ahmed Sher King Saud University, Riyadh, Kingdom of Saudi Arabia. Dr Ajay Somkuwar Maulana Azad National Institute of Technology Bhopal, India. Mr. Syed Abdhul Rahman Kashif University of Engineering and Technology, Lahore. ii of Technology Mr. N. Peddaiah, Mr. K. Veera Sekhar, Mr. J. Lakshman and Mr. G. Rajashekhar 1 A Revolutionary Idea to Improve Power Quality by Using Distributed Power Flow Controller [DPFC] Mr. N. Peddaiah, Mr. K. Veera Sekhar, Mr. J. Lakshman and Mr. G. Rajashekhar Abstract: In the last few decades as the more increase in population occurred so the usage of electric power is increasing day by day and also the power companies are concentrating not only on quantity of the power but also the quality of the power. Here the new FACTS device is used called DPFC reduces the voltage sag and voltage swell and improves the power quality. According to growth of electricity demand and the increased number of non-linear loads in power grids, providing a high quality electrical power should be considered. In this paper, voltage sag and swell of the power quality issues are studied and distributed power flow controller (DPFC) is used to mitigate the voltage deviation and improve power quality. The DPFC is a new FACTS device, which its structure is similar to unified power flow controller (UPFC). In spite of UPFC, in DPFC the common dc-link between the shunt and series converters is eliminated and three-phase series converter is divided to several single-phase series distributed converters through the line. Keywords: Distributed power flow controller, Power Quality, Sag and Swell Mitigation. I. INTRODUCTION Most serious threats for sensitive equipment in electrical grids are voltage sags (voltage dip) and swells (over voltage) [1]. These disturbances occur due to some events, e.g., short circuit in the grid, inrush currents involved with the starting of large machines, or switching operations in the grid In this paper, a distributed power flow controller, introduced in [9] as a new FACTS device, is used to mitigate voltage and current waveform deviation and improve power quality in a matter of seconds. The DPFC Structure is derived from the UPFC structure that is included one shunt converter and several small independent series converters, as shown in Fig.1.1The shunt converter is similar to the STATCOM while the series converter employs the D-FACTS concept[9]. The DPFC has same capability as UPFC to balance the line parameters, i.e., line impedance, transmission angle, and bus voltage magnitude [10]. The paper is organized as follows: in section II, the DPFC principle is discussed. The DPFC control is described in section III. Section IV is Simulation models. Results in section V.and section VI is conclusion In the last decade, the electrical power quality issue has been the main concern of the power companies [1]. Power quality is defined as the index which both the delivery and consumption of electric power affect on the performance of electrical apparatus [2]. From a customer point of view, a power quality problem can be defined as any problem is manifested on voltage, current, or frequency deviation that results in power failure [3]. The power electronics progressive, especially in flexible alternating-current transmission system (FACTS) and custom power devices, affects power quality improvement [4],[5]. Generally, custom power devices, e.g., dynamic voltage restorer (DVR), are used in medium-to-low voltage levels to improve customer power quality [6]. Fig.1.1 DPFC structure II. Mr. N. Peddaiah is working as Asst. Professor, Dept of Electrical & Electronics, KCE, Kurnool, India, Mr. K. Veera Sekhar is PG-Student, Dept of Electrical and Electronics, SKDEC, Gooty, India, Mr. J. Lakshman is working as Asst. Professor, Dept of Electrical & Electronics, SSCET, Kurnool, India. And Mr. G. Rajashekhar is a UG-Student, Dept. of Electrical and Electronics, KCE, Kurnool, India, Emails: peddaiah.n@gmail.com, veeru667@gmail.com, lakshman36@gmail.com, rshekhar130@gmail.com. DPFC PRINCIPLE In comparison with UPFC, the main advantage offered by DPFC is eliminating the huge DC-link and instate using 3rd-harmonic current to active power exchange [9] Theoretically the third, sixth, and ninth harmonic frequency are all zero sequence and all can be used to exchange active power in the DPFC, as it is well known the capacity of a transmission line to deliver power depends on its impedance, since the transmission line impedance is inductive and proportional to the frequency, high transmission frequencies will cause high impedance. Consequently the zero sequence International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr. N. Peddaiah, Mr. K. Veera Sekhar, Mr. J. Lakshman and Mr. G. Rajashekhar harmonic with the lowest frequency –third harmonic is selected [9], In the following subsections, the DPFC basic concepts are explained. A. Eliminate DC Link and Power Exchange Within the DPFC, the transmission line is used as a connection between the DC terminal of shunt converter and the AC terminal of series converters, instead of direct connection using DC-link for power exchange between converters. The method of power exchange in DPFC is based on power theory of non-sinusoidal components [9]. Based on Fourier series, a non-sinusoidal voltage or current can be presented as the sum of sinusoidal components at different frequencies. The product of voltage and current components provides the active power. Since the integral of some terms with different frequencies are zero, so the active power equation is as follow: 2 The third harmonic current is trapped in trapped in ∆ -winding of transformer. Hence, no need to use the high-pass filter at the receiving-end of the system. In other words, by using the third-harmonic, the high-pass filter can be replaced with a cable connected between ∆-winding of transformer and ground. This cable routes the harmonic current to ground. ∞ P= ∑V i I i cos φi i =1 ………………. (1) Where Vi and Ii are the voltage and current at the ith harmonic, respectively, and φi is the angle between the voltage and current at the same frequency. Equation (1) expresses the active power at different frequency components is independent. The above equation (1) describes that the active power at different frequencies is isolated from each other and the voltage and current in one frequency has no influence on the active power at other frequencies. so by this concept the shunt converter in DPFC can absorb active power from the grid at the fundamental frequency and inject the current back into the grid at a harmonic frequency[9]. Based on this fact, a shunt converter in DPFC can absorb the active power in one frequency and generates output power in another frequency, and also according to the amount of active power required at the fundamental frequency, the DPFC series converter generate the voltage at the harmonic frequency there by absorbing the active power from harmonic components. Assume a DPFC is placed in a transmission line of a two-bus system, as shown in Fig.1. While the power supply generates the active power, the shunt converter has the capability to absorb power in fundamental frequency of current. In the three phase system, the third harmonic in each phase is identical which is referred to as “zero sequence”. The zero sequence harmonic can be naturally blocked by Y-∆ transformer. So the third harmonic component is trapped in Y-∆ transformer [9]. Output terminal of the shunt converter injects the third harmonic current into the neutral of ∆ -Y transformer. Consequently, the harmonic current flows through the transmission line. This harmonic current controls the DC voltage of series capacitors. Fig. 2 illustrates how the active power is exchanged between the shunt and series converters in the DPFC. The third-harmonic is selected to exchange the active power in the DPFC and a high-pass filter is required to make a closed loop for the harmonic current. Fig: 2.1: Active power exchange B. The DPFC Advantages The DPFC in comparison with UPFC has some advantages, as follows: 1. High Control Capability The DPFC similar to UPFC, can control all parameters of transmission network, such as line impedance, transmission angle, and bus voltage magnitude. 2. High Reliability The series converters redundancy increases the DPFC reliability during converters operation [10]. It means, if one of series converters fails, the others can continue to work. 3. Low Cost The single-phase series converters rating are lower than one three-phase converter. Furthermore, the series converters do not need any high voltage isolation in transmission line connecting; single-turn transformers can be used to hang the series converters. Reference [9] reported a case study to explore the feasibility of the DPFC, where a UPFS is replaced with a DPFC in the Korea electric power corporation[KEPCO].To achieve the same UPFC control capability, the DPFC construction requires less material [9]. III.DPFC CONTROL The DPFC has three control strategies: A. Central Control This controller manages all the series and shunt controllers and sends reference signals to both of the shunt and series converters of the DPFC.According to the system requirements, the central control gives corresponding voltage reference signals for the series converters and reactive current International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr. N. Peddaiah, Mr. K. Veera Sekhar, Mr. J. Lakshman and Mr. G. Rajashekhar signal for the shunt converter. All the reference signals are generated by central control are at the fundamental frequency.[9] 3 transformer. Fig: 3.1 Central Control Fig: 3.3 Shunt Control B. Series Control Each single-phase converter has its own series control through the line. The controller is used to maintain dc voltage of a capacitor by using third harmonic frequency and to generate series voltage at a fundamental frequency which is prescribed by central control. Because of single phase series converter voltage ripple will occur whose frequency depends on frequency of current that flows through converter. So eliminate this ripples there are two possible ways one is increasing of turns ratio of single phase transformer and the second is use of dc capacitor of large capacitance. Any series controller has a low-pass and a 3rd-pass filter to create fundamental and third harmonic current, respectively. Two single-phase phase lock loop (PLL) are used to take frequency and phase information from network [11].The PWM-Generator block manages switching processes. IV. SIMULATION MODEL FOR DPFC Fig: 4.1.Simulated model for DPFC Within the setup, multiple series converters are controlled by a central controller. The central controller gives the reference voltage signals for all series converters. The voltages and current within the setup are measured by its simulink outputs. Fig: 3.2 Series control C. Shunt Control The shunt converter includes a three-phase converter connected back-to-back to a single-phase converter. The three-phase converter absorbs active power from grid at fundamental frequency and controls the dc voltage of capacitor between this converter and single-phase one. Other task of the shunt converter is to inject constant third-harmonic current into lines through the neutral cable of ∆-Y Fig: 4.2.Series Converter SIMULINK Model The basic function of the shunt converter is to supply or International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr. N. Peddaiah, Mr. K. Veera Sekhar, Mr. J. Lakshman and Mr. G. Rajashekhar 4 absorb the active power demanded by the series converter. The shunt converter controls the voltage of the DC capacitor by absorbing or generating active power from the bus, therefore it acts as a synchronous source in parallel with the system. To verify the DPFC principle, two situations are demonstrated: the DPFC behavior in steady state and the step response. In steady state, the series converter is controlled to insert a voltage vector with both d- and q-component, which is Vse,d,ref = 0.3 V and Vse,q,ref = −0.1 V. The voltage injected by the series converter, the current through the line, and the voltage and current at the side of the transformer. Fig: 5.3: Step response of the DPFC: active and reactive power injected by the Series converter: Fig: 5.4: Step response of the DPFC: bus voltage and current Fig: 4.3.Shunt Converter SIMULINK Model V. RESULTS FIG: 5.5: STEP RESPONSE OF THE DPFC:SERIES CONVERTER VOLTAGE. VI. CONCLUSION Fig: 5.1: Reference voltage for the series converters Fig: 5.2: Step response of the DPFC: line current: To improve power quality in the power transmission system, there are some effective methods. In this paper, the voltage sag and swell mitigation, using a new FACTS device called distributed power flow controller (DPFC) is presented. The DPFC structure is similar to unified power flow controller (UPFC) and has a same control capability to balance the line parameters, i.e., line impedance, transmission angle, and bus voltage magnitude. However, the DPFC offers some advantages, in comparison with UPFC, such as high control capability, high reliability, and low cost. The DPFC is modeled and three control loops, i.e., central controller, series control, and shunt control are design. The system under study is a single machine infinite-bus system, with and without DPFC. It is shown that the DPFC gives an acceptable performance in power quality mitigation and power flow International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr. N. Peddaiah, Mr. K. Veera Sekhar, Mr. J. Lakshman and Mr. G. Rajashekhar control. APPENDIX 5 [11] R.Zhang,M.Cardinal,P.Szczesny and M.Dame “A grid simulator with control of single phase power converters in D Q rotating frame” power electronics spectalists conferecne IEEE 2002. N. Peddaiah was born in Kurnool , India. He received the B.Tech (Electrical and Electronic Engineering) degree from Jawaharlal Nehru Technological University, Hyderabad in 2006 and received M.Tech (Power and Industrial Drives) from JNTUCE (Autonomous), Anantapur in 2009. Currently he is working as a Asst. Professor in Dept. of EEE in KCE Kurnool. He has published several International Conferences. His area of interesting power Electronics, Electrical Drives and FACTS devices. E-mail: peddaiah.n@gmail.com K. Veerasekhar was born in Seethampalli(V), Kadapa, India. He received the B.Tech (Electrical and Electronic Engineering) degree from R.G.M. College of Engineering and Technology, Nandyal, and pursing M.Tech (Electrical power Engineering) from SKDEC, Gooty, Anantapur, His area of interesting Power systems , HVDC,FACTS devices and Power Quality, E-mail: veeru667@gmail.com REFERENCES [1] S Masoud Barakati, Arash khoskbar sadigh and Ehasn Mokhtarpour,”voltage sag and swell compensation with DVR based on Asymmetrical cascade multicell converter”,North America power symposium[NAPS] pp1-7,2011. [2] Alexander Eigels Emanuel,John A. Mcneill”Electric power quality”annu.Rev.Energy Environ 1997,pp.264-303. [3] I Nita R.Patne,krishna L.thakre “Factor Affecting Characteristics of voltage sag due to fault in the power system”serbian journal of Electrical Engineering vol.5no.1 may 2008,pp.171-182 [4] J R Enslin,”Unified approach to power quality mitigation”in Proc. IEEE int. symp.Industrial Electronics(ISIE’98),vol 1,1998 pp 8-20 [5] B Singh,K Al-Haddad and A.Chandra “A review of active filters for power quality improvement”, IEEE Transactions. And .electron, vol 46 no.5 pp.960-971,1991 [6] M.A. Hannan and Azad Mohamed member IEEE “PSCAD/EMTDC simulation of unified series-shunt compensator for power quality improvement”, IEEE Transactions on power Delivery vol.20 no.2 APRIL 2005. [7] Ahmad Jamshidi , S. Masoud Barakati and Mohammad Moradi Ghahderijani”Power quality improvement and mitigation case study by using Distributed Power Flow Controller”IEEE paper in 2012. [8] R.lokeswar reddy(M.TECH) And K.vasu (M.TECH) “Designing of Distributed power flow controller ” IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) ISSN: 2278-1676 Volume 2, Issue 5 (Sep-Oct. 2012), PP 01-09. [9] zhihui yuan,sjoerd W.H de haan and Braham Frreira and Dalibor cevoric “A FACTS DEVICE: Distributed power flow controller (DPFC) ” IEEE transaction on power electronicsvol.25,no.10 october 2010. [10] zhihui yuan,sjoerd W.H de haan and Braham Frreira “DPFC control during the shunt converter failure” IEEE transaction on power electronics 2009 J.LAKSHMAN was born in Kurnool , India. He received the B.Tech (Electrical and Electronic Engineering) degree from Sri krishna devaraya university, Anantapur in 2006 and received M.Tech (Power Electronics) from JNTUA, Anantapur in 2009. Currently he is working as a Asst. Professor in Dept. of EEE in SSCET, Kurnool. He has published several International Conferences. His area of interesting power Electronics, Electrical Drives and FACTS devices. E-mail: lakshman36@gmail.com International Journal of Emerging Trends in Electrical and Electronics (IJETEE) G.RAJA SHEKHAR was born in kurnool, India. He received the B.Tech [ELECTRICAL AND ELECTRONICS ENGINEERING] degree from kottam college of engineering Kurnool, Jawaharlal Nehru Technological University, Anantapur in 2013. Email: rshekhar130@gmial.com Vol. 2, Issue. 1, April-2013. 6 Jayeshkumar G. Priolkar and Vinayak N. Shet A Review on Protection Issues in Microgrid Jayeshkumar G. Priolkar and Vinayak N. Shet Abstract— Microgrid is cluster of distributed generation sources, storage systems and controllable loads. Microgrid can provide quality and reliable supply of energy to consumer. Microgrid can operate in both modes of operations that is grid connected mode and islanded mode. This implementation poses technical challenge of protecting the microgrid. Power quality, energy management, stability, power flow control, protection system and integration of various distributed generators are the major issues in the microgrid operation. This paper reviews various protection issues in microgrid, various protection schemes to overcome the protection issues are also discussed. Implementation of adaptive protection system using digital relaying and advanced communication is most successful method of the protection of microgrid. Index Terms— Distributed generators, Inverter, Microgrid, Power flow control, Power quality Stability, Protection. I. INTRODUCTION Microgrid is one of the solutions to present energy crisis. It is basically network comprising of distributed generation sources, storage system and controllable loads, which can operate in grid connected mode or incase of fault in isolated mode. Microgrid provides various advantages to end consumer’s utilities and society. Various advantages include improvement in energy efficiency, minimisation of overall energy consumption and improvement in service quality and reliability of power supply [1]. The coexistence of multiple energy sources which have versatile dynamic properties and electrical characteristics have impact on safety, efficiency, control and stability of microgrid. Technical issues associated with operation of microgrid are interconnection and the islanding mode. Interconnection of microgrid with maingrid is complex; complexity in interconnection is affected by the types of power generation number of generating sources, location of points of interconnection and level of penetration of microgrid system with maingrid [2]. Jayeshkumar G. Priolkar is working as Assistant Professor and Vinyak N. Shet is working as Professor in department of electrical & electronics engineering at Goa college of engineering, Farmagudi, Ponda Goa, 403404. ( emails are 1. jayeshpriolkar@gmail.com 2. vns@gec.ac.in) The increased penetration of distributed generation in microgrid system poses several technical problems in the operation of the grid such as steady state and transient over & under voltages at point of connection, protection malfunctions, increase in short circuit levels and power quality problems [3].The major challenge in microgrid is the protection system. Protection system must respond to both maingrid and microgrid faults. Protection system should isolate the microgrid from the maingrid as fast as possible to protect the microgrid. When Distributed generators (DG) are integrated to form the microgrid it is essential to assure that the loads, lines and DG on island are protected. The fast operation of protection improves the ability to maintain synchronism after transition to islanded operation, which is crucial from viewpoint of stability [4]. The various protection issues arises when the integration of DG is done with distribution level network, there is change in faults current level of network, possibility of sympathetic tripping, reduction in reach of distance relays, loss of relay coordination and unintentional islanding [5]. Protection problem arises in island operation with inverter based sources as inverter based sources are limited by ratings of silicon devices [6]. When microgrid is used to improve service continuity, distributed network protections are need to be modified. Automatic and fast operative devices are used to detect faulty portion of network, which disconnects it rapidly and automatically it will also reconfigure the network depending upon requirement [7]. To overcome problems arising due to bidirectional power flows, low fault current levels in microgrid with inverter based sources a new portion system is required with advanced communication system, with real measurements where settings parameters and relay are checked and updated periodically giving safe and reliable operation[2]. II. LITERATURE REVIEW The various technical issues associated with the integration of the grid, protection challenges and possible solutions are discussed in [1]. Novel adaptive microgrid protection scheme with advanced communication system is also proposed in [1]. For proper integration of microgrid conventional power system protection cannot be used. In Paper [2] authors have reviewed the traditional power system protection concepts and strategies, protection challenges arising from integration of DG into the grid, alternate protection strategies, their merits and demerits are also discussed. The analysis of physical and electrical characteristics of the microgrid, numerical simulations and their influence on design of suitable protection schemes are discussed in [5]. The application of local induction generators on protection selectivity of the system with parallel distribution feeders and defect on fault detection is International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. 7 Jayeshkumar G. Priolkar and Vinayak N. Shet discussed in [6].Design and implementation of control scheme for microgrid is discussed in [7].Major protection issues arises in islanded operation with inverter based sources, this is mentioned in paper [8].For effective protection, the parameters of the protective devices are to be updated, and how the effective coordination is achieved is discussed in detail in [9].Various technical issues of the protection system with emphasis on protection coordination problem is discussed in [10] .Innovative protection schemes for multiphase and phase to ground faults in MV microgrid are mentioned in [11]. In paper [12] coordinated method to manage both network protection and DG interface protection is proposed. Authors have proposed a protection scheme using digital relays with communicated network for the microgrid [14]. In order to provide an effective network protection to meshed microgrid multilevel approach is adopted in paper [15].The application of admittance relay for protection of the converters used for distributed generator sources is discussed in [16].Paper [17] proposes use of microprocessor based relays for low voltage protection of microgrid. Communication network to monitor the microgrid and update the relay fault currents according to dynamic changes in system such as connection/disconnection of distributed generation sources is mentioned in [18].In [19] various issues related to protection of microgrid are discussed ,authors have used protection strategy, which adaptively selects different fault detection methods in grid connected mode and islanded mode, which improves the selectivity and reliability in protecting the microgrid. Design of microgrid protection system which makes use of current limiters in fault current estimation and uses communication network to monitor and update the relay fault currents according to variations in the system is proposed in [20].Paper [21] discusses about the protection issues related to inverter interfaced distributed generators and various protection schemes available. In [22] for a particular microgrid, protection scheme is developed which makes use of abc-dq transformation of system voltage to detect presence of short circuit fault and by comparing measurements at different locations provides discrimination between faults in different zones of protection. For protection of synchronous based distributed generators, scheme based on directional overcurrent relay is proposed in [23]. Various protection techniques and control strategies have been proposed to ensure a stable operation and to protect the distributed generation sources [24 - 26]. III. PROTECTION ISSUES Fault currents for grid connected and islanded operation of microgrid are different. The short circuit power varies significantly. Faults also causes loss of sensitivity, overcurrent, earth leakage, disconnection of generators, islanding, reducing reach of overcurrent relays , single phase connections and loss of stability[2].Depending upon location of faults with respect to distributed generators and existing protection equipment, problems like bidirectional power flow and change in voltage profile occurs. The power output of distributed generators like synchronous generators, induction generators and inverter interfaced protection units is unpredictable due to which whenever there is a fault, power output of these DG sources changes [5].Modification in fault current level, device discrimination, reduction in reach of impedance relays, reverse power flow, sympathetic tripping, islanding, single phase connection, selectivity are the key protection issues. A. Modification in fault current level When large number of small distributed generation units that uses synchronous or induction generator units are connected to distribution network or grid it changes fault current level as both types of generators contribute towards fault currents. When inverter interfaced DG units are used, fault current is limited to a lower value [7,20]. As fault current is not high as compared to load current, some of the relays do not trip, others that respond to fault operate with the time delay. The undetected fault spreads out in the system and can damage the equipment [2]. Fault impedence also decreases when DG is connected into network in parallel with the other devices. When faults occurs downstream of the point of common coupling, both the main source and DG contributes fault current. Relay placed at upstream of DG measure fault current supplied by upstream source. In Fig. 1 the relay placed at the upstream of DG measure the fault current supplied by upstream source. Actual fault current is different, relays will not function properly and there will be coordination problems. If there is short circuit fault, when DG is integrated with the main grid it will affect the amplitude, direction and duration of fault currents. Fig. 1.Fault current contribution from DG and grid B. Device discrimination In the power system network that has generation sources at the end of network , fault current decreases with increase in distance as the impedance increases. The variation in magnitude of fault current is used for discrimination. Incase of islanded microgrid with inverter interfaced distributed generation units , fault is limited to a lower value ,fault level at the locations of feeder will be almost constant [9].The traditional current protection scheme which uses the variation in magnitude of fault current for discrimination does not work properly. New protection system for device protection is required. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. 8 Jayeshkumar G. Priolkar and Vinayak N. Shet C. Reduction in reach of Impedance relays The reach of impedance relay depends upon the distance between the relay location and fault point , maximum distance means minimum fault current that is detected [2]. When DG is present in the system, distance relay may not operate according to defined zone settings. When faults occurs downstream of the bus DG connected to utility network, impedence measured by relay located in upstream is higher than real fault impedence. This affects grading of relays and causes delayed operation or sometimes relay does not operate at all. D. Reverse Power flow Main challenge for protecting the microgrid arises because power can flow in both the directions in each feeder of microgrid. Sources are located in both sides of load due to which power flows in opposite direction from two sources towards the load. Power flow also changes its direction incase of distribution network with embedded generation when local generation exceeds local consumption [2]. The reverse power flow can also cause power quality problems resulting in variation of voltage. E. Sympathetic Tripping This occurs when protective device operates for faults in an outside protective zone. DG contributes towards the fault; relay operates alongwith another relay which actually sees the fault resulting in malfunctioning of protective scheme. Relay on line 2 will unnecessarily operate for fault F1 at line L1 as a result of infeed from DG to fault current as shown in Fig.2 G. Single phase connection Some DG sources inject single phase power into the distribution grid, for example PV systems. This affects balance of three phase currents, due to unbalance current in the neutral conductor increases which also results in flow of stray currents to earth. This current should be limited to prevent overloading. H. Selectivity Protection system is said to be selective if the protection device closest to the fault operates to remove the faulty section. Without DG, there is power flow in only one direction, during normal operation as well as when there is fault, by using time graded overcurrent relays selectivity can be obtained .When DG is integrated with the grid ,this systems becomes inadequate. There is possibility of disconnection of healthy feeder by its own protective relay because it contributes to the short circuit current flowing through fault in the neighboring feeder. The tripping current for electrical protective device is between maximum load current and minimum fault current. Fault current and load current depends upon the state of grid, state of distributed generators and whether microgrid is operating in islanded mode [9]. . The main challenge for protecting the microgrid arises from the fact that power can flow in both the directions in each feeder of the microgrid. Close to each local load, there may exist two or more sources that contribute to the loaded power. The sources are located in both sides of load due to which power flows in opposite direction from two sources towards the load IV. CASE STUDY ON STUDIED MICROGRID Particular case for the microgrid is considered for study as shown in the Fig. 4. Different fault scenarios in microgrid are considered to see the operation of circuit breaker and coordination between circuit breakers as listed in Table I TABLE I Fig. 3. Underreaching of relay and sympathetic tripping due to DG connection F. Islanding The DG creates a problem when part of distributed network with DG unit is islanded. Islanding is due to fault in the network. If generator continues to supply power despite the disconnection of utility, fault might persist as fault is fed by DG [2, 4]. If the control for the voltage is not provided, it results in unexpected rise in voltage levels incase of islanded operation. MAJOR CLASSES OF MICROGRID PROTECTION [1] Operating mode External Faults (Main grid) Internal Faults (Microgrid) MV feeder,(F1) LV (F3) Grid connected (CB1) closed Fault is managed by MV system Microgrid isolation by CB1 incase no MV protection tripping. Possible fault sensitivity problems for CB1 Isolated (CB1 open) International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Distribution Transformer (F2) Fault is managed by MV system (CB0) .CB1 is open by follow me function of CB0. Incase of communication failure ,sensitivity problem for CB1 feeder Disconnect smallest portion of microgrid (CB 1.2 and CB 2.1).CB 1.2 is opened by fault current from the grid (high level). Low level of reversed fault current causes sensitivity problems. Disconnect smallest portion of microgrid (CB LV Consumer (F4) Faulty load is isolated by CB 2.4 or fuse. Incase of no tripping the SWB is isolated by CB 2.5 & local DG is cut off. Faulty load is isolated by CB 2.4 Vol. 2, Issue. 1, April-2013. 9 Jayeshkumar G. Priolkar and Vinayak N. Shet 1.2 and CB 2.1). Low level of fault currents causes sensitivity problems for both CB or fuse. Incase of no tripping the SWB is isolated by CB 2.5 and local DG is cut off A. Fault Analysis Scope of fault analysis in this paper is to estimate the magnitude of current under short circuit condition. Fault level indicates strength of system; selection of circuit breaker and design of coordination system for protective relaying is done based on fault analysis. Fault analysis in this paper done for the typical microgrid as shown in Fig.4. The ratings and parameters of the equipments considered for typical microgrid for analysis is given in appendix. For fault analysis base kVA selected is 630 kVA, base voltage is 400V and fault location is at F3. Table II indicates comparison of fault currents for different faults, Table III shows the comparison of fault currents in different modes. From the fault analysis done it can be concluded that there is change in fault current level during different modes of operation in microgrid, which makes protection system design for entire network complex. V. POSSIBLE SOLUTIONS FOR PROTECTION ISSUES There are various solutions available to overcome protection challenges in the microgrid network. Whenever there is reverse power flow or bidirectional power flow, main relays of feeders which are fed from the substation can be interlocked [11]. The use of directional over current relays can also solve this problem. The other solution is main feeder relay adjustment in terms of time settings. Feeder without DG can have faster relay settings as compared to feeder with DG. A. Protection of inverter interfaced DG units Conventional protection systems cannot give reliable protection for inverter interfaced units, because there is limited fault current. The solution can be achieved by using inverters which have high fault current capability that is uprating the inverter, using faster communication system between Inverter and protective relays, and introduction of energy storage devices that are capable of supplying large current incase of faults [2]. B. Differential protection scheme The conventional differential protection cannot give the reliable protection. The protection scheme for microgrid with Inverter interfaced DG units cannot differentiate between fault current and an overload current, which results in nuisance tripping when system is overloaded, in some instances traditional protection scheme. For proper clearing of fault in an islanded microgrid and to ensure selectivity ,it is important that different distributed generators should effectively communicate with each other. Use of evolving distribution system version of pilot wire line differential scheme is required for protection [2]. Fig. 4. Different Fault scenarios of Microgrid [1] TABLE II COMPARISON OF FAULT CURRENT FOR DIFFERENT FAULTS Type of Fault Location Fault current Three Phase F3 14.57 kA Single Line to Ground F3 8.02 kA Double line to Ground F3 8.0 kA TABLE III COMPARISON OF FAULT CURRENT IN DIFFERENT MODES Type of operating mode Fault Location Magnitude of fault current Grid Connected with F3 14.57 kA Islanded mode F3 5.857 kA Grid Connected Mode F3 7.913 kA DG C. Balanced combination of different types of DG units To obtain the protection of an isolated microgrid is to use DG units with synchronous generators or to use inverters having high fault current capability or to use combination of both types of DG units so the conventional protection schemes can be properly used. D. Inverter Controller design Protection scheme for islanded microgrid is dependent on type of inverter controller, controller can actively limit the available fault current from inverter interfaced distributed generator units. E. Protection based on symmetrical components and differential components of currents. Microgrid can be protected against unsymmetrical faults based on symmetrical components. As per the studies carried out for differential and symmetrical component of currents , a symmetric protecting the microgrid against all single line to ground and line to line fault is developed[8,23]. without DG International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. 10 Jayeshkumar G. Priolkar and Vinayak N. Shet F. Adaptive protection for microgrid Adaptive protection scheme solves the problem both in grid connected as well as islanded mode [1,19]. In adaptive protection system there is automatic readjustment of relay settings when microgrid changes from grid connected mode to islanded mode and from islanded mode to grid connected mode. Adaptive protection is an online system that modifies preferred protective response to change in system conditions or requirements in timely manner by means of external generated signals or control actions. Technical requirements and suggestions for practical implementation of an adaptive protection system make use of numerical directional overcurrent relays. Numerical directional overcurrent relays should have possibility of using tripping characteristics (several settings groups) that can be parameterized locally or locally. For effective protection make use of communication system and standard communication protocol such that individual relays can communicate and exchange information with a central computer or between different individual relays. Main components of centralized adaptive protection system are microgrid central controller and communication system. Main goal of adaptive protection is to maintain settings of each relay with regard to current state of microgrid. Microgrid central controller has module which is responsible for periodic checking and updating relay settings. Microgrid Central controller will monitor the state of microgrid by polling all individual directional overcurrent relays. Module basically consists of two components one of which has information about the precalculated values of fault parameters which is done during offline fault analysis of given microgrid, second one is online operating block. Adaptive directional interlock is used in avoiding the nonselective operation of relays in the microgrid. Adaptive protection is used to send the blocking signals in the right direction so that relays on both sides of faulty element trips and fault is isolated. Fig. 5. Centralised Adaptive Protection System [1] VI. CONCLUSION Various protection issues that arise when microgrid is integrated to main grid are discussed and analysed in this paper. Technical challenges like change in fault current level of the network, possibility of sympathetic tripping, reduction in reach of distance relays, loss of relay coordination, unintentional islanding are briefly discussed. From the fault analysis carried out on the particular case of microgrid it is observed that fault current level changes depending upon modes of operation which poses the challenge while designing protection system. Adaptive microgrid protection system is the best solution to overcome all the problems associated with all issues in microgrid. APPENDIX Distribution Transformer Parameters: - Rated apparent power: 630 kVA, Rated voltage primary/secondary: 6000/400 V Z1t=j0.1, Z2t=j0.1,Z0t=j0.1. Synchronous generator parameters: - Rated voltage: - 400V, Rated power :160 kVA, Z1G=j0.235, Z2G=j0.098,Z0G=j0.027 XLPE Cable:- Nominal current :- 750 Amps, Length of cable :- 150 meters, cable impedence ;- 0.321 ohms. Source Impedance =j0.0126 (assumed). [1] REFERENCES A.Oudalov and A. Fidigatti, “Adaptive network protection in microgrids,” International Journal of Distributed Energy Source, vol. 4, pp. 201–205, 2009. [2] B.Hussain, S.Sharkh, S.Hussain, and M.Abusara,"Integration of distributed generation into the grid: protection challenges and solutions," 10th IET International Conference on Developments in Power System Protection, pp. 1-5, March/April 2010. [3] N.D.Hatziagyriou and A.P.Sakis,"Distributed energy sources: Technical challenges," IEEE Power Engineering Society General meeting, 2002. [4] H .Laaksonem and K. Kauhaneimi, “Voltage and frequency control of low voltage microgrid with converter based DG units,” International Journal of Integrated Energy Systems Integrated Energy Systems, vol. 1, no. 1, pp. 47–60, June 2009. [5] C.Stefinia, R. Lorenzo, and V. Umberto, “Analysis of protection issues in autonomous MV microgrids,” in Proc.of Power conversion conference ,Nagoya, 20th International Conference on Electricity Distribution , pp. 1-5, June 2009. [6] J.Driesen, P. Vermeyen, and R. Belmans, “Protection issues in microgrid with multiple distribution generation units,” in Proc.of Power Conversion Conference,Nagoya, pp. 646653,October 2010. [7] Z.Wang, X.Huang ,and J. Jiang , “Design and implementation of a control system for microgrid ,” in Proc. IEEE Electrical power conference , pp.25–26, October 2007. [8] H. Nikkhajoei and R. Lassester, “Microgrid Protection,” in Proc.of IEEE power engineering society general meeting, pp. 1-6, June 2007. [9] B.Kin , K. Jung , M. Choi , S. Lee ,S. Huyan , S. Kang, “Agent based adaptive protective coordination in power distribution system ,” in Proc.CIERD, 17th International Conference on Electricity Distribution pp. 1–7, May. 2003. [10] B.Hussain, S.Sharkh, S.Hussain, M.Abusara , “Impact studies of distributed generation on power quality and protection set up of an existing network,” International symposium on Power Electronics, Electrical drives ,Automation and Motion, pp. 1243-1246, March 2010. [11] S. Conti, L. Raffa and U.Vagliasindi, “Innovative solution for protection schemes in autonomous MV microgrids,” International Conference on Clean Electrical Power, pp. 647–654, 2009. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Jayeshkumar G. Priolkar and Vinayak N. Shet 11 [12] S.Conti and S.Raiti, “Integrated protection scheme to coordinate MV distribution network devices,” International Conference on Clean Electrical Power, Nov. 2008, pp. 640– 646, 2009. [13] E.Sortomme, S.SVenkata and J. Mitra , “Microgrid Protection using communication assisted digital relay,” IEEE Transactions on Power Delievery, Vol. 25 , No. 4, pp. 27892795,October 2010. [14] A. Parsai, T.Du, A.Paqette, E.Buck, R. Harley, and D. Divan, “Protection of meshed microgrids with communication overlay”, Energy Conversion Congress and Exposition, pp 64-71,2010. [15] M. Dewadasa , R. Mazumdar ,A. Ghosh and G. Ledwich , “Control and protection of a microgrid with converter interfaced micro sources”, 3rd International Conference on Power Systems, 2009. [16] M. A. Zamani , T.S. Sidhu, and A. Yazdani "A protection strategy and microprocessor based relay for low voltage microgrids," IEEE Transactions on Power Delivery, Vol. 26, No.3, pp. 1873-1883,July 2011. [17] T.S.Ustum, C. Ozansoy and A. Zayegh, “A Microgrid protection system with central protection unit and extensive communication” 10th IET International Conference on Environment and Electrical Engineering, 2011. [18] K.Dang, X. He,D. Bi, and C. Feng “An adaptive protection for Inverter dominated microgrid ,”International Conference on Electrical Machines and systems, pp. 1-5, 2011. [19] S.Ustun,C.Ozansoy,and A.Zaygeth, “A centralised microgrid protection System for network with fault current limiters,” 10th International Conference on Environment and Electrical Engineering, 2011. [20] S. Conti, “Protection issues and state of art microgrids with inverter interfaced distributed generators,” International Conference on Clean electrical power, pp. 643-647, June 2011. [21] H. Al-Nasseeri, M Redifern, and R.Gorman, “Protecting microgrid systems containing solid state converter generation”, International Conference on Future Power System, pp.1-5, 2005. [22] H.Zeineldin,E.Saadany,and M.Salama, “Protective relay coordination for microgrid operation using particle swarm optimization”, IEEE Transactions on Power Delivery, pp. 152-157,2006. [23] W. E .Ferro , D.C. Dawson and J. Steavans, “White Paper on Protection Issues of Microgrid Concept”, March 2006. [24] F. Katiarei,M.R Iravani,and P.W.Lehn, “Microgrid autonomous operation during and subsequent to islanding process” IEEE Transactions on Power Delivery, pp. 248257,2005. [25] N.Poaku,M.Prodanovic,andT.C.Green, “Modelling,analysisand testing of autonomous operation of an inverter based microgrid” IEEE Transactions on Power Electronics pp. 613-625,2007. [26] J.A.Pecas,C.Moreira,and A.Madureira, “Defining Control strategies for microgrids islanded operation” IEEE Transactions on Power Electronics pp. 916-924,2006. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Niraj Kumar Shukla and Dr. S K Sinha 12 Fuzzy and PI Controller Based Performance Evaluation of Separately Excited DC Motor Niraj Kumar Shukla and Dr. S K Sinha Abstract- The separately excited dc motors with a conventional PI speed controller are used extensively in industry. This conventional controller can be easily implemented and are found to be highly effective if the load changes are small however, in certain applications, e.g., rolling mill drives or machine tools, the drive operates under a wide range of changing load characteristics and the system parameters vary substantially. A conventional PI or PID controller is not preferable in these applications. The development of fuzzy logic controller for dc drives in the present work is inspired by the FLC control strategy. Broadly, two control strategies with fuzzy logic controller are proposed for separately excited dc motor, current control and speed control strategy. The controller is used to generate the firing pulses. The main objective of this work is to reduce the change in speed in transient as well as steady state region. The aim of these proposed schemes are to improve tracking performance of separately excited dc motor and compare with conventional PI control strategy. II. SEPARATELY EXCITED DC MOTOR A separately excited dc motor is one of the most commonly used dc motor. It is represented by equation 1.The equivalent circuit of a dc motor armature is based on the fact that the armature winding has a resistance Ra, a self – inductance La, and an induced emf. This is shown in Fig.1. In the case of motor, the input is electrical energy and the output is the mechanical energy, with an air gap torque of Te at a rotational speed of ωm. Keywords— Separately excited dc motor, Proportional- Integral (PI), Fuzzy logic controller (FLC), proportional constant (Kp) I. INTRODUCTION The introduction of drive system increases the automation and productivity and also efficiency. The system efficiency can be increased from 15 to 27 % by the introduction of variable speed drive operation in place of constant speed operation. A number of modern manufacturing processes, such as machine tools, require variable speed. This is true for a large number of applications, such as Electric propulsion, Pumps, fan, and compressors,Plant automation ,Flexible manufacturing systems,Robotic actuators, Cement Kilns, Steel mills, Paper and pulp mills, Textile mills . This paper focuses on the performance evaluation of separately excited dc motor having P-I and fuzzy logic controller. The simulation results are presented to demonstrate the effectiveness of this fuzzy logic and advantage of control system DC motor with fuzzy logic controller (FLC) in comparison with conventional scheme. Niraj Kumar Shukla is with Department of Electrical Engineering, SIET, Allahabad, UP, INDIA and Dr. S K Sinha is with Department of Electrical Engineering, Kamala Nehru Institute of Technology, Sultanpur-UP, INDIA, Emails: niraj.knit@gmail.com, sinhask98@gmail.com Fig. 1: Equivalent circuit of a dc motor armature v = e + Ra ia + La (dia/dt)……….1 v = e Ra ia. ............................................2 e = K Φf ωm..........................................3 Te = Kb ia ...............................................4 Kb = K Φf volt/ (rad/sec).............5 where ωm is rotor speed(rad/sec),v is armature voltage, ia is armature current, La is armature inductance. Ra is armature resistance, Kb and K are motor constants. The principle of speed control for dc motors is developed from the basic emf equation of the motor. Torque, flux current, induced emf, and speed are normalized to present the motor characteristics. Two types of control are available: armature control and field control. These methods are combined to yield a wide range of speed control. Modern power converters constitute the power stage for variable-speed dc drives. These power converters are chosen for a particular application depending upon a number of factors such as cost, input power source, harmonics, power factor, noise, and speed of response.A model for the power converter is derived for use in simulation and controller design. Power electronic converters can be found wherever there is a need to modify the form of electrical energy (i.e. modify its voltage, current or frequency). International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Niraj Kumar Shukla and Dr. S K Sinha 13 Armature control has the advantage of controlling the armature current swiftly, by adjusting the applied voltage. . If the supply dc voltage is varied from zero to its nominal value, then the speed can be controlled from zero to nominal or rated value. Therefore, armature control is ideal for speed lower then rated speed; field control is suitable above for speed greater than the rated speed. Motor Parameters D.C. motor input voltage Armature current rating Rated speed Armature resistance Ra Armature Inductance La Moment of inertia J Viscous friction coefficient Bt Load Torque(TL) (evaluated at steady) Value 240 V 16 A 1220 rpm or 127.7 rps 0.5 Ω 0.01 H 0.05 kg – m2 0.02 N.m.s/rad 24.178 N-m TABLE 1: DC Motor Parameter These rated and evaluated parameters of motor are employed in the simulink model. III.CONTROLLERS FOR DC DRIVE The schematic diagram of the dc drive system is shown in Fig. 1. The power circuit consists of a three phase, fully controlled bridge converter that drives a separately excited dc motor.The thyristor bridge converter gets its ac supply through a three phase transformer and fast acting ac contactors. The dc output is fed to the armature of the dc motor.The output of the current controller is the control voltage V for the converter firing circuit. The firing pulses c for the SCRs are generated with a delay angle, by cosine wave crossing method. The speed and current controllers in Fig. 2 may be P-I controllers or fuzzy logic controllers. Fig. 2: Speed-controller two-quadrant dc motor drive The output of the tachogenerator is filtered to remove the ripples to provide the signal, ω mr. The speed command and ωr* is compared to the speed signal to produced a speed error signal. This signal is processed through a proportional plus integrator (PI) controlled to determine the torque command. The torque command is limited, to keep it within the safe current limits, and the current command is obtained by proper scaling. The armature current command ia* is compared to the actual armature current ia to have a zero current error. In case there is an error, a PI current controller process it to alter the control signal vc. The control signal accordingly modifies the triggering angle α to be sent to the converter for implementation. The inner current loop assures a fast current response and hence also limits the current to a safe preset level. This inner current loop makes the converter linear current amplifiers. The outer speed loop ensures that the actual speed is always equal to the commanded speed and that any transient is overcome within the shortest feasible time without exciding the motor and converter capability. The inner current loop will maintain the current at level permitted by its commanded value, producing a corresponding torque. As the motor starts running, the torque and current maintained at their maximum level, the accelerating the motor rapidly. When the rotor attains the commanded value, the torque command will settle down to a value equal to the sum of load torque and other motor losses to keep the motor in steady state. IV. FUZZY LOGIC CONTROL Fuzzy logic is a thinking process or problem-solving control methodology incorporated in control system engineering, to control systems when inputs are either imprecise or the mathematical models are not present at all. Fuzzy controllers are used in the speed and current loops in Fig.9, replacing the conventional P-I controllers. It is an idea or problem-solving methodology to control non-linear systems. The conventional control systems that work on the basic approximation of systems to be linear systems failed drastically when the range of application of such linear models was increased and therefore the need of control logic that could work even with linear systems was born. . If the dynamics of the system and input parameters are imprecise or missing, then fuzzy logic works by exploiting its tolerance for imprecision of input parameters. As the father of fuzzy logic Lofti A Zadeh puts it, “because precision is costly, it makes sense to minimize the precision needed to perform a task.” The applicability of fuzzy logic is indeed promising To specify rules for the rule-base, the expert will use a “linguistic description”; hence, linguistic expressions are needed for the inputs and outputs and the characteristics of the inputs and outputs. “linguistic variables” (constant symbolic descriptions of what are in general time-varying quantities) are used to describe fuzzy system inputs and outputs. For our fuzzy system, linguistic variables denoted by ˜ui are used to describe the inputs ui. Similarly, linguistic variables denoted by ˜yi are used to describe outputs yi. For instance, an input to the fuzzy system may be described as ˜u1 = “position error” or ˜u2 = “velocity error,” and an output from the fuzzy system may be ˜y1 =“voltage in.” Fuzzification is an important concept in the fuzzy logic theory. Fuzzification is the process where the crisp quantities International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Niraj Kumar Shukla and Dr. S K Sinha 14 are converted to fuzzy (crisp to fuzzy). By identifying some of the uncertainties present in the crisp values, we form the fuzzy values. The conversion of fuzzy values is represented by the membership functions. In any practical applications, in industries, etc., measurement of voltage, current, temperature, etc., there might be a negligible error. This causes imprecision in the data. This imprecision can be represented by the membership functions. Hence fuzzification is performed. Thus fuzzification process may involve assigning membership values for the given crisp quantities. Defuzzification is the conversion id a fuzzy quantity to a crisp quantity, just as fuzzification is the conversion of a precise quantity to a fuzzy quantity. The output of a fuzzy process can be the logical union of two or more fuzzy membership functions defined on the universe of discourse of the output variables Fig.5. System model with current control strategy Fig.6: System model with speed control strategy Fig. 3: FIS editor of fuzzy controller with 9 rule base Fig.7: System model with current control and speed control strategy Fig. 4: Rule viewer of fuzzy controller with 9 rule base International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Niraj Kumar Shukla and Dr. S K Sinha Fig.8: Simulink model of plant having fuzzy controller with 3&5 rule base 15 Fig.11: Current Response for different values of Kp & Ki RESPONSE OF DRIVE CONTROLLED BY PI SPEED CONTROLLER Fig.9: Simulink model of plant having fuzzy controller with 9 rule base Fig.12: Speed Response for different values of Kp & Ki RESPONSE OF DRIVE CONTROLLED BY PI CURRENT CONTROLLER Fig.13: Current Response for different values of Kp & Ki Fig. 10: Speed Response for different values of Kp & Ki RESULTS OF DRIVE CONTROLLED BY PI CURRENT AND SPEED CONTROLLER STRATEGY BOTH International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Niraj Kumar Shukla and Dr. S K Sinha Fig. 14: Speed Response for different values of Kp & Ki 16 Fig.17: Current Response for 3 rule base It is observed that, for 3 rule base overshoot is 0.31% and settling time is 0.27 sec. Fig.15: Current Response for different values of Kp & Ki FUZZY CONTROLLER APPROACH Fig.16: Speed Response for 3 rule base Fig. 18: Speed Response for 5 rule base Fig. 19: Current Response for 5 rule base The result observed for 5 rule base is that, it has no overshoot but settling time is increased from 0.27 secs to 0.40 secs. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Niraj Kumar Shukla and Dr. S K Sinha Fig. 20: Speed Response for 9 rule base Fig.21: Current Response for 9 rule base The result of 9 rule base shows that overshoot is reduced to a great extent keeping settling time to merely 0.30 sec. 17 Fig.23: Speed comparison for plants having fuzzy controller with 9 rule base vs. 5 rule base Fig.24: Speed comparison for plants having fuzzy controller with 9 rule base vs. 3 rule base V. RESULT ANALYSIS Plant description Plant with uncontrolled rectifier Plant having PI current controller for kp = 3 and ki = 0.00001 Fig.22: Speed comparison for plants having fuzzy controller with 5 rule base vs. 3 rule base Plant having PI speed controller for kp = 12 and ki = 0.00001 Plant having PI current & speed controller for kpc=4, kps=12 & ki=0.00001 Plant having fuzzy controller with 3 rule base(current) Plant having fuzzy controller with 5 rule base(current) Plant having fuzzy controller with 9 rule base(current and speed) Maximum % Overshoot ( % Mp) Settling Time (ts in secs) Speed regulat ion Current (amp) 4.85% 0.47 1.51% 16.2 2.2 1.51% 16.19 10.10 % 0.42 0.71 % 16.14 -- 0.22 0.95 % 16.18 0.31% 0.27 0.86% 16.16 0.03% 0.4 0.71 % 16.15 -- 0.3 0.86 % 16.16 -- Table.2: Result analysis for different drive models International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Niraj Kumar Shukla and Dr. S K Sinha From the table 2 above, it is observed that excellent results are obtained by use of fuzzy controller for dc drive system with optimum performance achieved through 9 rule base. Overshoot can also reduced by using 5 rule base and 3 rule base but the disadvantage is that it results in increased settling time , poor speed regulation and increased losses when compared to fuzzy controller with 9 rule base. The results obtained by simulation of plant with uncontrolled converter shows poor speed regulation, settling time and had high overshoots in transient region. In order to reduce the maximum overshoots the uncontrolled converter is replaced with a controlled one whose firing is controlled with the help a PI controller. It is observed that for various values of proportional and integral gain, the overshoots get reduced to a great extent as compared to the plant with uncontrolled model. On the other hand, the use of PI controller in uncertainty association as load increases the settling time and speed regulation are not as per desirable one. This situation is overcome by replacement of PI controller with fuzzy logic controller. It is observed that using fuzzy controller of Mamdani model with 9 rule base; the maximum overshoot gets reduced with less settling time, gives better efficiency and better speed regulation. VI. CONCLUSION It is observed that fuzzy controller with Mamdani model for 3 rule base, 5 rule base and 9 rule base can minimize the peak overshoot ,settling time and shows better speed regulation on contrary to conventional cases. With 9 rule bases, a significant improvement is achieved in view of overshoot, settling time along with better speed regulation and better drive efficiency. REFERENCES [1] R.Krishnan, Electric motor drives, modeling, analysis, and control, PHI Inc. 2003 ‘Fuzzy logic with engineering application’ Kevin M. Passino, Stephen Yurkovich, Fuzzy Control, An Imprint of Addison-Wesley Longman, Inc., 1998 Saffet Ayasun, Gultekin Karbeyaz “DC Motor Speed Control Methods Using MATLAB/Simulink and Their Integration into Undergraduate Electric Machinery Courses” Wiley Periodicals Inc. 2007. Gilberto C. D. Sousa, Student Member, IEEE, and Bimal K. Bose, Fellow, IEEE “A Fuzzy Set Theory Based Control of a Phase-Controlled Converter DC Machine Drive” IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 30, NO. I, JANUARY/FEBRUARY 1994. F I W e d , A A Mabfonz, and M M lbrahim “A NOVEL FUZZY CONTROLLER FOR DC MOTOR DRIVES” Ninth international Conference on Electrical Machines and Drives, Conference Publication No. 468, 0 IEE, 1999 S. Tunyasrirut, J. Ngamwiwit & T. Furuya “Adaptive Fuzzy PI Controller for Speed of Separately Excited DC Motor” 0-7803-5731-0/99/1999 IEEE 18 [8] Bogumila Mrozek, Zbigniew Mrozek, “Modelling and Fuzzy Control of DC Drive”, 14-th European Simulation Multiconference ESM 2000, [9] Oscar Montiel1, Roberto Sepulveda , Patricia Melin, Oscar Castillo, Miguel Angel Porta, Iliana Marlen Meza “Performance of a Simple Tuned Fuzzy Controller and a PID Controller on a DC Motor” Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence. [10] Raef S. Shehata,, Hussein A. Abdullah, Fayez F. G. Areed, “Fuzzy Logic Surge Control in constant speed centrifugal compressors”, IEEE, 2008. [11] C.U. Ogbuka, M.Eng. “Performance Characteristics of Controlled Separately Excited DC Motor”. The Pacific Journal of Science and Technology, Volume 10. Number 1. May 2009 (Spring) Niraj Kumar Shukla received his B.Tech degree in Electrical Engineering from B.B.D.N.I.T.M, Lucknow, India in 2007. He obtained his M.Tech. degree in Electrical Engineering (Power Electronics & Drives) from KNIT, Sultanpur, U.P., India in 2010. Currently he is working as Assistant Professor in Department of Electrical Engineering, SIET Allahabad. His area of interest includes Fuzzy control, Power electronics, Electric Drives and Microprocessor. Dr. S. K. Sinha received his B.Sc.Engg degree in Electrical from R.I.T. Jamshedpur, Jharkhand, India in 1984, and the M.Tech. degree in Electrical Engineering from Institute of Technology,BHU, Varanasi, India in 1987,and the Ph.D. degree from IIT, Roorkee, India, in 1997. Currently he is working as Professor & Head, Department of Electrical Engineering, Kamla Nehru Institute of Technology, Sultanpur, UP, India. His field of interest includes estimation, fuzzy control, robotics, and AI applications. [2] Timothy J. Ross ; [3] [4] [5] [6] [7] International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P. Bapaiah 19 Improvement of Power System Stability Using HVDC Controls P. Bapaiah Abstract: In an AC/DC power system, emergency power actions from the HVDC connection are very important, because appropriate fast changes in DC power will reduce the stress on the AC system and the magnitude of the first transient swing. An HVDC transmission link is highly controllable. Its effective use depends on appropriate utilization of this controllability to ensure desired performance of the power system. In this paper, the investigations are carried out on the improvement of power system stability by utilizing auxiliary controls for controlling HVDC power flow. AC/DC load flow using eliminated variable method is utilized in the transient stability analysis. Transient stability analysis is done on single machine system and multimachine system, using different control signals derived from the AC system. In this work, the combination of the different signals, which stabilizes the system, is found out and its effectiveness is verified. Key words: HVDC controller, Multi machines, Stability, Power system, load modeling. I. High-Voltage Direct-Current Transmission Remote generation and system inter connections lead to a search for efficient power transmission at increasing power levels. The increase in voltage levels is not always feasible. The problems of AC transmission particularly in long distance transmission, has led to the development of DC transmission. However, as generation and utilization of power remains at alternating current, the DC transmission requires conversion at two ends, from AC to DC at the sending end and back to AC at the receiving end. This conversion is done at converter stations-rectifier at the sending end and inverter at the receiving end. The converters are static, using high power thyristors connected in series to give the required voltage ratings. The physical process of conversion is such that the same station can switch from rectifier to inverter by simple control action, thus facilitating the power reversal. P. Bapaiah is currently working as an Assistant Professor in Electrical and Electronics Engineering Department at Amrita Sai Institute of Science and Technology, Paritala, (INDIA), Email: pagolubapaiah@gmail.com. HVDC Transmission has advantages over AC transmission in special situations [1]. The following are the types of applications for which HVDC transmission has been used: 1. Under water cables longer than about 30 km. AC transmission is impractical for such distances because of the high capacitance of the cable requiring intermediate compensation stations. 2. Asynchronous link between two AC systems where AC ties would not be feasible because of system stability problems or a difference in nominal frequencies of the two systems. 3. Transmission of large amounts of power over long distances by over head lines. HVDC transmission is a competitive alternative to AC transmission for distances in excess of about 600 km. Power System Stability Power system stability is the ability of an electric power system, for a given initial operating condition, to regain a state of operating equilibrium after being subjected to a physical disturbance, with most system variables bounded so that practically the entire system remains intact [2]. The power system is a highly nonlinear system that operates in a constantly changing environment; loads, generator outputs and key operating parameters change continually. When subjected to a disturbance, the stability of the system depends on the initial operating condition as well as the nature of the disturbance. Stability of an electric power system is thus a property of the system motion around an equilibrium set, i.e., the initial operating condition. In an equilibrium set, the various opposing forces that exist in the system are equal instantaneously or over a cycle. Power systems are subjected to a wide range of disturbances, small and large. Small disturbances in the form of load changes occur continually; the system must be able to adjust to the changing conditions and operate satisfactorily. It must also be able to survive numerous disturbances of a severe nature, such as a short circuit on a transmission line or loss of a large generator. A large disturbance may lead to structural changes due to the isolation of the faulted elements. At an equilibrium set, a power system may be stable for a given (large) physical disturbance, and unstable for another. It is impractical and uneconomical to design power systems to be stable for every possible disturbance [2]. The design contingencies are selected on the basis that they have a reasonably high probability of occurrence. Hence, large-disturbance stability always refers to a specified disturbance scenario. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P. Bapaiah 20 The response of the power system to a disturbance may involve much of the equipment. For instance, a fault on a critical element followed by its isolation by protective relays will cause variations in power flows, network bus voltages, and machine rotor speeds; the voltage variations will actuate both generator and transmission network voltage regulators; the generator speed variations will actuate prime mover governors; and the voltage and frequency variations will affect the system loads to varying degrees depending on their individual characteristics. Further, devices used to protect individual equipment may respond to variations in system variables and cause tripping of the equipment, thereby weakening the system and possibly leading to system instability. If following a disturbance the power system is stable, it will reach a new equilibrium state with the system integrity preserved i.e., with practically all generators and loads connected through a single contiguous transmission system. Some generators and loads may be disconnected by the isolation of faulted elements or intentional tripping to preserve the continuity of operation of bulk of the system. Interconnected systems, for certain severe disturbances, may also be intentionally split into two or more “islands” to preserve as much of the generation and load as possible. The actions of automatic controls and possibly human operators will eventually restore the system to normal state. On the other hand, if the system is unstable, it will result in a run-away or run-down situation; for example, a progressive increase in angular separation of generator rotors, or a progressive decrease in bus voltages. An unstable system condition could lead to cascading outages and a shutdown of a major portion of the power system. essential to ensure satisfactory performance of the overall AC/DC system [1]. In this paper, an attempt is made to utilize the above advantage of HVDC systems for the improvement of stability of the power system. Power systems are continually experiencing fluctuations of small magnitudes. However, for assessing stability when subjected to a specified disturbance, it is usually valid to assume that the system is initially in a true steady-state operating condition. The eliminated variable method used here [4] overcomes these difficulties. The basic idea is to treat the real and reactive powers consumed by the converters as voltage dependent loads. The DC equations are solved analytically or numerically and the DC variables are eliminated from the power flow equations. The method is unified, since the effect of the DC-link is included in the Jacobian. It is, however, not an extended variable method, since no DC variables are added to the solution vector. Rotor angle stability refers to the ability of synchronous machines of an interconnected power system to remain in synchronism after being subjected to a disturbance. It depends on the ability to maintain/restore equilibrium between electromagnetic torque and mechanical torque of each synchronous machine in the system. Instability that may result occurs in the form of increasing angular swings of some generators leading to their loss of synchronism with other generators [2]. II. AC/DC Load Flow In transient stability studies it is prerequisite to do AC/DC load flow calculations in order to obtain system conditions prior to the disturbance. The simplest way of integrating a DC link into the AC load flow is representing it by constant active and reactive power injections at the two terminal buses in the AC systems. Thus the two terminal AC/DC buses are represented as a PQ-bus with a constant, voltage independent active and reactive power. However this is clearly an inadequate representation where the links contribution to AC system reactive power and voltage conditions is significant, since the accurate operating mode of the link and its terminal equipment are ignored [3]. Traditionally, two different approaches have been used to solve the power flow equations for hybrid AC/DC systems. The first approach is the sequential method, in which the AC and DC equations are solved separately in each iteration. The sequential method is easy to implement, but convergence problems may occur in certain situations. The other approach is the unified method, in which the solution vector is extended with the DC-variables, which can also be referred to as extended variable method. The drawback with the extended variable method is that it is complex to program and hard to combine with developments in AC power flow solution techniques. DC System Model: The equations describing the steady state behavior of a monopolar DC link can be summarized as follows. Loss of synchronism can occur between one machine and the rest of the system, or between groups of machines, with synchronism maintained within each group after separating from each other. HVDC systems have the ability to rapidly control the transmitted power. Therefore, they have a significant impact on the stability of the associated AC power systems. An understanding of the characteristics of the HVDC systems is essential for the study of the stability of the power system. More importantly, proper design of the HVDC controls is International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vdr Vdi 3 2 3 2 arVtr cos r aiVti cos i Vdr Vdi rd I d Pdr Vdr I d Pdi Vdi I d S dr k 3 2 arVtr I d 3 3 X c Id X c Id (2.1) (2.2) (2.3) (2.4) (2.5) (2.6) Vol. 2, Issue. 1, April-2013. P. Bapaiah 21 S di k 3 2 aiVti I d (2.7) Qdr S dr2 Pdr2 (2.8) Qdi S di2 Pdi2 (2.9) AC/DC Power Flow Equations: When the DC-link is included in the power flow equations, only the mismatch equations at the converter terminal AC buses have to be modified. Ptr Ptrspec Ptrac , v Pdr Vtr ,Vti , xdc Pti Ptispec Ptiac , v Pdi Vtr ,Vti , xdc Qtr Qtrspec Qtrac , v Qdr Vtr ,Vti , xdc Qti Qtispec Qtiac , v Qdi Vtr ,Vti , xdc computations, or if the time scale is such that the taps can be assumed to be fixed. The modes that are obtained when limits are encountered depend on the control strategy of the HVDC-scheme, and this must be accounted for in the computations. For modes B - D, ar determines r and ai determines the direct voltage, which normally is the case for current control in the rectifier. For modes E - G, ar determines the direct voltage. Subscript ‘I’ refers to constant current control. Table 0.1: Control modes Control Mode A (2.10) B (2.11) C (2.12) D (2.13) E where xdc is a vector of internal DC-variables. The DCvariables satisfy R Vtr ,Vti , xdc 0 F (2.14) G where R is a set of equations given by (2.1)-(2.3) and four control specifications. AI BI In the extended variable method, (2.15) is solved iteratively. N P H P t Q J L Qt R 0 0 0 D 0 A 0 C E t V / V Vt / Vt xdc DI EI (2.15) N L V / V FI GI In the sequential method, (2.14) is solved after each iteration of (2.16). P H Q J CI (2.16) Control Modes: Seven variables and three independent equations, (2.1)(2.3), are introduced when a DC-link is included. Hence, four specifications have to be made in order to define a unique solution. The control modes used here are summarized in Table 2.1, it will suffice to illustrate the analytical elimination procedure. Control mode A is the base case, which in the well known current margin control corresponds to one terminal controlling the voltage and the other the current, or equivalently the power. The control angles and the DCvoltage are specified, and the converter transformer tap positions are varied in order to meet these specifications. The other modes in Table 2.1 are obtained from mode A if variables hit their limits during the power flow Specified Variables r i ar i r i ar i r i r ai r ai r i ar i r i ar i r i r ai r ai Vdi Pdi Vdi Pdi ai Pdi ai Pdi ar Pdi Vdi Pdi ar Pdi Vdi I d Vdi Id ai Id ai Id ar Id Vdi Id ar Id The taps are assumed to be continuous variables. Discrete tap positions can be taken into account by first assuming continuous taps and subsequently fix the taps at appropriate values. The Eliminated Variable Method: In the eliminated variable method, the equations in (2.14) are, in principle, solved for xdc. xdc = f(Vtr, Vti) (2.17) The real and reactive powers consumed by the converters can then be written as functions of Vtr and Vti. = Pdr(Vtr, Vti, xdc) = Pdr(Vtr, Vti, f(Vtr, Vti)) = Pdr(Vtr, Vti) (2.18) It is not needed to derive explicit functions for the real and reactive powers, only to find a sequence of computations such that the real and reactive powers and their partial derivatives w.r.t. the AC terminal voltages can be computed. If all real and reactive powers are written as functions of Vtr and Vti, (2.15) can be replaced by (2.19). International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Pdr P H Q J N L V / V (2.19) Vol. 2, Issue. 1, April-2013. P. Bapaiah 22 N ' tr , tr Vtr N ' tr , ti Vti N ' ti, tr N ' ti, ti Pdr Vtr , Vti Ptrac Vtr Vtr Vtr Pdr Vtr , Vti Ptrac Vti Vti Vti Pdi Vtr , Vti P ac Vtr ti Vtr Vtr Vtr Pdi Vtr , Vti P ac Vti ti Vti Vti Vti (2.20) (2.21) This mode occurs e.g. if the tap changer at the rectifier hits a limit in control mode A under current control in the rectifier. Since Pdi and Vdi are specified, Id, Vdr, Pdr and Sdi computed as for mode A. Since αr is specified, Sdr is computed with (2.6) instead of (2.25). Vtr (2.22) 3 2 S dr Vtr k ar I d S dr Vtr Vtr (2.23) L ' is modified analogously. Thus, in the eliminated variable method, four mismatch equations and up to eight elements of the Jacobian have to be modified, but no new variables are added to the solution vector, when a DC-link is included in the power flow. The partial derivatives are those required by (2.19); ∂Pdr(Vtr,Vti)/∂Vtr, for example, is the derivative of Pdr w.r.t. Vtr, assuming Vti is kept constant. The DC variables, however, are not kept constant as opposed to ∂Pdr(Vtr,Vti,xdc)/∂Vtr, which is used in (2.15). Although (2.19) looks like (2.16), it is mathematically more similar to (2.15). The Jacobian in (2.19) is however normally more well-conditioned than the one in (2.15). Analytical Elimination: To illustrate the procedure, the analytical elimination is carried out in detail for some representative modes. It is sufficient to find Pd and Sd at each converter, since Qd then can be computed with (2.8) or (2.9). The partial derivatives for all modes in Table2.1 are shown in Table 2.2 and Table 2.3. S dr 3 Pdi Rd X c I d2 k cos r k Pdi Pl Ql Control Mode C: [αr γi ai Pdi] These specifications are valid e.g. if the tap changer at the inverter hits a limit in mode A under current control in the rectifier. Combining (2.2) and (2.5) gives Pdi 3 2 k Pdi Ql k Pdi Ql cos i ai Vti cos i I d If we solve for Id, we obtain c1 Vti I d c1 Vti 2 I d c1 Vti where c1 3 X c I d2 c2 Pdi c12 Vti c1 Vti 2 Define ∂Ii as I i c2 Pdi (2.31) (2.32) (2.33) 3 Xc Vti I d I d Vti (2.34) Since Pdi is specified, both its partials are zero. Pdr is given by (2.24), and its partial derivatives by: Pdr 0 Vtr P V I Vti dr 2 Rd I d2 ti d 2 Pl I i Vti I d Vti Vtr (2.25) (2.26) (2.35) (2.36) ai is specified, Sdi is computed with (2.7), and the Thus, all real and reactive powers consumed by the converters can be precomputed, and including the dc-link in the power flow is trivial for this control mode. The same is true for any specification of the form [αr γi x1 x2], where x1 and x2 are any two variables of [Pdr Pdi Vdr Vdi Id]. The fact that the real and reactive powers can be precomputed for this case is well known. Since Control Mode B: Qdr and its partial derivatives are computed from (25) [αr γi Vdi Pdi] (2.29) (2.30) ai cos i 2 Xc c2 Analogously, for Sdi: S di (2.28) The formulas for mode BI are essentially identical; the only difference is that Pdi, rather than Id, is computed with (2.5). In general, when two of the variables of [Pdr Pdi Vdr Vdi Id] are specified, the other three can be computed from (2.3)-(2.5). Control Mode A: [αr γi Vdi Pdi] Since both the voltage and power at the inverter are specified, the direct current can be computed with (2.5), and Pdr can then be found by combining (2.3), (2.4) and (2.5) Pdr = Pdi + Rd Id2 (2.24) If we combine (2.l), (2.6) and (2.24), we obtain Qdr S dr2 Vtr Qdr (2.27) partial derivatives of Qdi are given by International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vtr Qdi 0 Vtr (2.37) Vti Qdi S2 di 1 I i Vti Qdi (2.38) Vol. 2, Issue. 1, April-2013. P. Bapaiah 23 S dr 2I i k Pl Ql Vti Qdr Vtr 0 Vtr Q 2I i k S dr Ql Pl Pl Pdr Vti dr Vti Qdr Vti (2.39) (2.40) (2.41) Other Modes The partial derivatives for the other control modes can be derived analogously; if the tap changer controlling the control angle is specified (modes B, D, F, G), only the reactive power at that converter will depend on corresponding AC voltage. If the tap changer controlling the direct voltage is specified (modes C, D, E, G), all the real and reactive powers will depend on the AC voltage at that terminal. Equations (2.30) or (2.43) are used to find the direct current for constant power control. If the tap changer position is specified at a converter, Sd is computed with (2.6) or (2.7), otherwise (2.25) or (2.26) are used. The partial derivatives for all modes in Table 2.1 are summarized in Table 2.2 and Table 2.3 Table 0.2: Partial derivatives for modes with the direct voltage determined by ai Pdr Qdr Pdr Qdr Vtr Vti Vti Vtr Vtr Vti Vti M od e A AI 0 0 B 0 BI C 0 0 CI 0 D 0 DI 0 0 0 2 S dr Qdr 2 S dr Qdr 0 0 2 S dr Qdr 2 S dr Qdr Pdi Qdi Pdi Qdi Vti Vti Vtr Vtr Vti Vti 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Table 0.3: Partial derivatives for modes with the direct voltage determined by ar M o de E Vtr Pdr Qdr Vtr Vtr Vtr 2Pl I r 0 0 2 I i 2Pl I i Qdr Pdi Ql k S dr Pdi Ql Qdr I i 2Pl I i Qdr Pdi Ql 2 S dr 0 Pl 0 Ql 0 Pdr P0l k S dr0 Pdr0 2 Pl Pdr 0 Pdi Ql P Qdr 0 dr 0 Qdi 0 Qdr 0 0 Vtr Vtr Qdi Vtr 2 I r Qdi Pdi Vti Ql k S di0 0 0 Pdr Ql Pdr Ql Qdi F 0 0 0 0 0 0 0 FI 0 0 0 0 0 0 0 0 0 0 0 Pdr Ql G GI 2 Pl I r 2 S dr 1 I r 2 Pl I r Pdr Qdr Pdr Ql Pdr QlQdr Qdr 0 2 S di Qdi Qdi I r Pdr Ql Vtr I d I d Vtr I d c3 Vtr 0 0 Pdi0 2 S di Qdi 2 S di Qdi 2 S di Qdi 2 S di Qdi c3 1 I i c4 (2.42) c3 Vtr 2 3ar cos r 2 Rd 3 X c Rd 3 X c c4 Pdi (2.43) (2.44) (2.45) the analytical elimination is that the be re-derived for other DC system other specifications are used. Transient Stability Studies: Transient stability studies provide information related to the capability of a power system to remain in synchronism during major disturbances resulting from either the loss of generating or transmission facilities, sudden or sustained changes, or momentary faults. Specifically, these Qload l studies provide the changes in the voltages, currents, powers, speeds, and torques of the machines of the power 1 I i 0 0 Pdi Pdi QlQdi Qdi International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vti k 0S di P0di I r Qdi Vti ∂Ir in Table 2.3 is defined as 0 Qdi Vti Pdi Pdr Ql Pdr QlQdr Qdr Pdi A drawback with Q Qformulas have to l Pdi Ql di Qdi configurations or if 2 S di Vtr EI 0 2 S di Vti 2 S dr 1 I r 2 Pl I r Pdr where 0 Pdr Qdr Vol. 2, Issue. 1, April-2013. P. Bapaiah 24 system, as well as the changes in system voltages and power flows, during and immediately following a disturbance. The degree of stability of a power system is an important factor in the planning of new facilities. In order to provide the reliability required by the dependence on continuous electric service, it is necessary that power systems be designed to be stable under any conceivable disturbance. The performance of the power system during the transient period can be obtained from the network performance equations. The performance equation using the bus frame of reference in either the impedance or admittance form has been used in transient stability calculations. d 2 f dt d 2 d f Pm Pe dt 2 dt H Algebraic: E ' Et ra I t jxd' I t where E’=voltage back of transient reactance Et=machine terminal voltage It=machine terminal current ra=armature resistance xd' =transient reactance The operating characteristics of synchronous and induction machines are described by sets of differential equations. The number of differential equations required for a machine depends on the details needed to represent accurately the machine performance. A transient stability analysis is performed by combining a solution of the algebraic equations describing the network with a numerical solution of the differential equations. The solution of the network equations retains the identity of the system and thereby provides access to system voltages and currents during the transient period [5]. As compared with rotor long-time constants, the AC and DC-transmission systems respond rapidly to network and load changes. The time constants associated with the network variables are extremely small and can be neglected without significant loss of accuracy. The synchronous machine stator time constants may also be taken as zero. The DC link is assumed here to maintain normal operation throughout the disturbance. This approach is not valid for larger disturbances such as converter faults, DCline faults and AC faults close to the converter stations, these disturbances can cause commutation failures and alter the normal conduction sequence [6]. III. Figure 0.1: Generator Classical model Representation of Loads Power system loads, other than motors represented by equivalent circuits, can be treated in several ways during the transient period. The commonly used representations are either static impedance or admittance to ground, constant real and reactive power, or a combination of these representations. The parameters associated with static impedance and constant current representations are obtained from the scheduled bus loads and the bus voltages calculated from a load flow solution for the power system prior to a disturbance [5]. The initial value of the current for a constant current representation is obtained from SYSTEM REPRESENTATION Generator Representation The synchronous machine is represented by a voltage source, in back of a transient reactance, that is constant in magnitude but changes in angular position. This representation neglects the effect of saliency and assumes constant flux linkages and a small change in speed. If the machine rotor speed is assumed constant at synchronous speed, a normal and accepted assumption for stability studies, then M is constant. If the rotational power losses of the machine due to such effects as windage and friction are ignored, then the accelerating power equals the difference between the mechanical power and the electrical power [6]. The classical model can be described by the following set of differential and algebraic equations: Differential: I po Plp jQlp E *p The static admittance Ypo used to represent the load at bus P, can be obtained from Ypo I po Ep where Ep is the calculated bus voltage, Plp and Qlp are the scheduled bus loads. Diagonal elements of Admittance matrix (Y – Bus) corresponding to the load bus are modified using the Ypo. Representation of HVDC Systems Each DC system tends to have unique characteristics tailored to meet the specific needs of its application. Therefore, standard models of fixed structures have not been developed for representation of DC systems in stability studies [1]. a) Converter model International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P. Bapaiah 25 i) Simplified model Here valve switching is neglected and the converter is represented by the average DC voltage equation. This model is similar to that used in power flow analysis. The transformer tap is assumed to be constant as the tap changer dynamics are very slow [7]. This model is inaccurate during severe disturbances. It cannot handle commutation failures and cannot predict the converter behavior during unsymmetrical faults. ii) Detailed model Here, the valve switching is incorporated and the model is free from the drawbacks associated with the simplified model. However the transient simulation of converter now requires integration step size as small as 50 – 100 μs. This implies heavy computation burden, so it is used only for short duration (say 0.2 sec) immediately after the disturbance. b) Converter controller models i) Response type model The dynamics of the CEA and CC are neglected and only the steady – state controller characteristics are represented. The main feature of this type of controller model is that the configuration and the parameters of the controller are assumed to designed at a later stage basing on the requirement. ii) Detailed representation It requires the analysis of actual control circuitry and the establishment of a dynamic equivalent with a frequency response which matches the actual controller response. This is used along with the detailed converter model. c) DC network model i) Resistive network Here DC network is represented as resistive network ignoring energy storage elements. This approach is valid when DC lines are short and or for back to back HVDC links and smoothing reactors are of moderate size. ii) Transfer function representation For a two terminal DC link with the response type controller, an alternative representation of the DC network is to use a transfer function (Fig. 2.2) instead of a resistance. In this case, the time constant T dc represents the delay in establishing the DC current after a step change in the order is given. Figure 0.2: Transfer Function Model iii) Dynamic representation As the frequency bandwidth of the response model considered in the transient stability studies is modest, it is adequate to represent the dc network by a simple equivalent circuit of the type shown in figure no 2.3. Even here, the shunt branches may be neglected. Figure 0.3: Equivalent Circuit Runge-Kutta method In the application of the Runge-Kutta fourth-order approximation, the changes in the internal voltage angles and machine speeds, again for the simplified machine representation, are determined from 1 k1i 2k2i 2k3i k4i 6 1 l1i 2l2i 2l3i l4i 6 it t it t i=1,2,…,no. of generators. The k’s and l’s are the changes in i and i respectively, obtained using derivatives evaluated at predetermined points. For this procedure the network equations are to be solved four times. Steps of the AC-DC Transient Stability Study Generally, the DC scheme interconnects two or more, otherwise independent, AC systems and the stability assessment is carried out for each of them separately, taking into account the power constraints at the converter terminal. If the DC link is part of a single (synchronous) AC system, the converter constraints will apply to each of the nodes containing a converter terminal. The basic structure of transient stability program is given below [5]: 1) The initial bus voltages are obtained from the AC/DC load flow solution prior to the disturbance. 2) After the AC/DC load flow solution is obtained, the machine currents and voltages behind transient reactance are calculated. 3) The initial speed is equated to 2 f and the initial mechanical power is equated to the real power output of each machine prior to the disturbance. 4) The network data is modified for the new representation. Extra nodes are added to represent the generator internal voltages. Admittance matrix is modified to incorporate the load representation. 5) Set time, t=0; 6) If there is any switching operation or change in fault condition, modify network data accordingly and run the AC/DC load flow. 7) Using Runge-Kutta method, solve the machine differential equations to find the changes in the internal voltage angle and machine speeds. 8) Internal voltage angles and machine speeds are updated and are stored for plotting. 9) AC/DC load flow is run to get the new output powers of the machine. 10) Advance time, t=t+Δt. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P. Bapaiah 11) Check for time limit, if t ≤ tmax repeat the process from step 6, else plot the graphs of internal voltage angle variations and stop the process. Basing on the plots, that we get from the above procedure it can be decided whether the system is stable or unstable. In case of multi machine system stability analysis the plot of relative angles is done to evaluate the stability. a. Basic Control Principles The HVDC system is basically constant-current controlled for the following two important reasons: To limit overcurrent and minimize damage due to faults. To prevent the system from running down due to fluctuations of the ac voltages. It is because of the high-speed constant current control characteristic that the HVDC system operation is very stable [1]. The following are the significant aspects of the basic control system: a) The rectifier is provided with a current control and an α-limit control. The minimum α reference is set at about 50 so that sufficient positive voltage across the valve exists at the time of firing, to ensure successful commutation. In the current control mode, a closed loop regulator controls the firing angle and hence the dc voltage to maintain the direct current equal to the current order. Tap changer control of the converter transformer brings α with in the range of 100 to 200. A time delay is used to prevent unnecessary tap movements during excursions of α. b) The inverter is provided with a constant extinction angle (CEA) control and current control. In the CEA control mode, γ is regulated to a value of about 150. This value represents a trade-off between acceptable var consumption and a low risk of commutation failure. Tap changer control is used to bring the value of γ close to the desired range of 150 to 200. c) Under normal conditions, the rectifier is on current control mode and the inverter is on CEA control mode. If there is a reduction in the ac voltage at rectifier end, the rectifier firing angle decreases until it hits the αmin limit. At this point, the rectifier switches to αmin control and the inverter will assume current control. d) To ensure satisfactory operation and equipment safety, several limits are recognized in establishing the current order: maximum current limit, minimum current limit, and voltage-dependent current limit. e) Higher-level controls may be used, in addition to the above basic controls, to improve AC/DC system interaction and enhance AC system performance. All schemes used to date have used the above modes of operation for the rectifier and the inverter. However, there are some situations that may warrant serious investigation of a control scheme in which the inverter is operated 26 continuously in current control mode and the rectifier in αminimum control mode. Enhanced performance into weak systems may be one case. b. Controls for Enhancement of AC System Performance In a DC transmission system, the basic controlled quantity is the direct current, controlled by the action of the rectifier with the direct voltage maintained by the inverter. A DC link controlled in this manner buffers one AC system from disturbances on the other. However, it does not allow the flow of synchronizing power which assists in maintaining stability of AC systems. The converters in effect appear to the AC systems as frequency-insensitive loads and this may contribute to negative damping of system swings [1]. Further, the DC links may contribute to voltage collapse during swings by drawing excessive reactive power. Supplementary controls are therefore often required to exploit the controllability of DC links for enhancing the AC system dynamic performance. There are a variety of such higher level controls used in practice. Their performance objectives vary depending on the characteristics of the associated AC systems. The following are the major reasons for using supplementary control of DC links: Improvement of damping of AC system electromechanical oscillations. Improvement of transient stability. Isolation of system disturbance. Frequency control of small isolated systems. Reactive power regulation and dynamic voltage support. The controls used tend to be unique to each system. To date, no attempt has been made to develop generalized control schemes applicable to all systems. The supplementary controls use signals derived from the AC systems to modulate the DC quantities. The modulating signals can be frequency, voltage magnitude and angle, and line flows. The particular choice depends on the system characteristics and the desired results. In order to augment transient stability limit large signal modulation is used, thereby improving system security. Large changes in the power flow in the DC link are required to compensate for tripping of loads, generators or AC ties. While overload capability in DC links is useful, the limits imposed by ratings of the link usually do not curtail the benefits of power modulation. Hence, significant improvements can be expected out of the use of DC links in emergency control. The rapid response of DC link controllers makes it possible to arrest large fluctuations in the frequency by matching generation to the load in the area to which the DC link is connected [7]. It is desirable to obtain control signals locally. Some of the controls that can be used are as follows: Rotor frequency of adjacent generator Frequency at the converter bus Power or current in adjacent, parallel AC tie. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P. Bapaiah Phase angle changes in the AC system [8]. The above signals work satisfactorily for the single machine system case. However, in the case of multimachine system it may be necessary to employ control signals derived from relative angle deviation, speed deviation and acceleration and different combinations of these signals. Apart from linear controllers, (like P, PI and PID controllers) Fuzzy logic controllers can also be employed which are known to give better performance. The output of Fuzzy Logic Controller is utilized to modulate the power order of the DC control, which in turn modulates the DC power. The stabilizing control is implemented through large signal modulation of power in response to a control signal derived from the AC system variables. The effectiveness of the control can be enhanced by increased overload rating of the converters which permit short – term overloads. Thus, the rapid controllability of power in a DC link can be used to advantage in improving the transient stability of the AC system in which the DC link is embedded. The power flow can even be reversed in a short time (less than 0.25sec). Thus, DC link control can be viewed as an alternative to fast valving or braking resistor. IV. Proposed Work In this work, the advantage of fast HVDC power modulation is utilized to improve the stability of the system with different types of controllers and control signals. i. Case 1 A single machine system is considered with parallel AC and DC transmission, having a Type – 0 Auxiliary controller and a Proportional Integral type current controller for the HVDC system. Here, the control signals are derived from generator speed deviation, generator phase angle deviation and variations of power in the parallel AC line are used and combinations of these signals are also utilized. ii. Case 2 A multi machine system is considered with a HVDC link having a Proportional Integral current controller. The auxiliary controller is a constant gain controller which is given with different control signals from the AC system. The control signals are derived from relative generator angles, relative speed variations and accelerations of different generators. iii. 27 Auxiliary Stabilizing Controller A Type- 0 controller is used here and is shown in figure 4.1. By this, we can get fast response by increasing the gain constant (Kw) or decreasing the time constant (Tw) [7]. The gain constant (Kw) varies from 0.0 to 1.0 and time constant varies from 0.01 to 0.1. These two constants depend on system size and magnitude of the disturbance. Similarly this type of auxiliary controller is tested for a single machine AC/DC system at different gain constants (Kw) and satisfactory results are obtained. Figure 0.4: Type - 0 Controller iv. Constant Current Controller Here Proportional Integral (PI) type controller is used [7]. This type of controller has feedback signal (IDC) to regulate the firing angle (Alfa) at the rectifier end to maintain the DC link current constant and the same is shown in figure 4.2. Figure 0.5: Constant Current Controller v. Test System A single machine system connected to infinite bus through parallel AC and DC links is considered and is shown in figure 4.3. Figure 0.6: Parallel AC and DC system The single machine system, using the Type – 0 auxiliary controller and a Proportional Integral type current controller for HVDC link is used to demonstrate the enhancement of stability by utilizing the controllability of the HVDC line. The DC link is represented by a simplified transfer function model. The following numerical data on 100 MVA base is used. vi. System Data Generator : Pg=3.0 pu Xd=0.1 pu F=50Hz International Journal of Emerging Trends in Electrical and Electronics (IJETEE) H=6.0 pu D=0.01 AC transmission lines: Vol. 2, Issue. 1, April-2013. P. Bapaiah 28 Xeq = 0.15 pu Transformer: Xt=0.05 pu DC link: K1=0.4 K2=0.3 Tw=0.05 Ld=0.03 Rd=0.05 Xc=0.126 Initial conditions δ=0.6435 Δw =0 Id=0.8957 Alfa=0.279 Vdi=0.99 0.95 del 0.9 0.85 ) d ra l( e d 0.8 0.75 0.7 0.65 The analysis is performed using the disturbances like variations in mechanical power (0.3 pu) and outage of one of the parallel AC lines. The stability of the system is enhanced utilizing different stabilizing signals for power modulation in the HVDC link. vii. Case A: Mechanical Power Variations The mechanical power of the generator is increased by 0.3 pu and different control signals from the AC system are utilized for the stability improvement. Without any external control signal applied to the HVDC system the stability analysis is performed and the generator angle plot is as shown in figure no. 4.4. Considering variations in speed and parallel AC tie power variations different control signals are applied to HVDC controller. The plots of phase angles of generator for different stabilizing signals are shown in figures 4.5 – 4.9. 0 2 4 6 time(sec) 8 10 12 Figure 0.8: Plot of Generator angle with Δw as the auxiliary stabilizing signal (Kw= 1.4) 0.95 del 0.9 0.85 ) d a r l( e d 0.8 0.75 0.7 0.65 0.95 0 del 2 4 6 8 10 12 time(sec) 14 16 18 20 Figure 0.9: Plot of generator angle with ΔPac (change in power of adjacent AC line) as the auxiliary stabilizing signal (Kw= 0.1). 0.9 0.85 1 0.8 del d) ar (l e 0.75 d 0.95 0.7 0.85 0.9 ) d ra (l e d 0.65 0 2 4 6 time(sec) 8 10 12 Figure 0.7: Plot of Generator angle without any external control signal applied 0.8 0.75 0.7 0.65 0 2 4 6 8 10 12 time(sec) 14 Figure 0.10: plot of generator angle with auxiliary stabilizing signal (Kd=0.45). International Journal of Emerging Trends in Electrical and Electronics (IJETEE) 16 18 20 d as the dt Vol. 2, Issue. 1, April-2013. P. Bapaiah 29 0.649 1 del 0.95 del 0.648 Kd=0.12,Kp=1.4 0.647 0.9 0.646 0.85 ) d a r( l e d 0.645 ) d ra l( e d 0.8 0.75 0.644 0.643 0.642 0.7 0.641 0.65 0.64 0.639 0 2 4 6 time(sec) 8 10 12 Figure 0.11: Plot of generator angle with Kp* Δw +Kd* d as the auxiliary stabilizing signal (Kp=1.4, dt 0 2 4 6 time(sec) 8 10 12 Figure 0.13: Plot of generator angle without any external control signal. 0.647 del 0.6465 Kd =0.12). 0.646 0.6455 1 del 0.95 ) d ra l( e d Kd=0.12,Kp=1.4,Ki=0.04 0.9 0.645 0.6445 0.644 0.85 ) d ra (l e d 0.6435 0.8 0.643 0.75 0.6425 0 2 4 0.7 8 10 12 Figure 0.14: plot of generator angle with Δw as the auxiliary stabilizing signal (Kw=4.5). 0.65 0 2 4 6 8 10 12 time(sec) 14 16 18 20 0.647 Figure 0.12: plot of generator angle with Kp* Δw +Kd* 6 time(sec) del 0.6465 d +KiΔδ as the auxiliary stabilizing signal dt 0.646 0.6455 (Kp=1.4, Kd =0.12, Ki=0.04). viii. Case B: Line Outage One of the parallel AC lines is given outage, here the two ac lines are assumed to be similar. Therefore this disturbance can be reflected by varying the value of X eq, which represents the equivalent reactance of both the lines. Here, once again the different signals are utilized for stability improvement. The plots of generator angles for different stabilizing signals are shown in figures 4.10 – 4.15. ) d a r( l e d 0.645 0.6445 0.644 0.6435 0.643 0.6425 0 2 4 6 8 10 12 time(sec) 14 16 18 20 Figure 0.15: plot of generator angle with ΔPac (change in power of adjacent AC line) as the auxiliary stabilizing signal (Kw=2). International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P. Bapaiah 30 b. Multimachine System Analysis The power flow through a HVDC link can be highly controllable. This fact is utilized to strengthen the power system stability. The WSCC – 9 Bus system is considered for the stability analysis and is given in the figure 4.16. 0.649 del 0.648 0.647 0.646 ) d ra l(e d 0.645 0.644 0.643 0.642 0.641 0 2 4 6 time(sec) 8 10 Figure 0.16: plot of generator angle with auxiliary stabilizing signal (Kd=1). 12 d as the dt 0.647 del Figure 0.19: WSCC 9 Bus System 0.6465 0.646 0.6455 ) d ra l( e d 0.645 0.6445 0.644 0.6435 0.643 0.6425 0 2 4 6 time(sec) 8 10 12 Figure 0.17: plot of generator angle with Kp* Δw +Kd* d as the auxiliary stabilizing signal (Kp=4.5, dt Kd =0.5). 0.647 del 0.6465 0.646 The scenario adapted for our study is given below: A fault is assumed to occur on Line 4-6, at initial time zero. It is assumed that a grounded fault occurred near to Bus 6 and the line from Bus 4 to Bus 6 is removed after 4 cycles. The HVDC line is located between buses 4 –5. Under these conditions, the impact of HVDC on system stability is presented. Initially, a case in which the HVDC line maintains the same control as in the normal state, in which the post-fault HVDC power flow setting remains the same as before, is investigated. It was found that, the system becomes unstable. Then a PI controller is designed to stabilize the system. The controls are used to alter power flow setting in the HVDC line. The system data is given in appendix I. i. Case I: Uncontrolled Case Fig. 4.17 is a plot of the generator angles for a grounded fault at Bus 6. The HVDC line is in between buses 4 – 5. The post fault power flow setting through the HVDC line is the same as the pre-fault power flow setting. No extra control mechanism has been employed here. The plot of relative angles of the generator is shown in figure 4.18. 4 0.6455 ) d ra l( e d 6 0.645 x 10 5 0.6445 4 0.644 3 0.6435 ) g e d l( e d 0.643 0.6425 0 2 4 6 time(sec) 8 10 12 Figure 0.18: Plot of generator angle with Kp* Δw +Kd* d +KiΔδ as the auxiliary stabilizing signal dt (Kp=1.4, Kd =0.12, Ki=0.0005). del1 2 1 0 del2 del3 -1 -2 0 5 10 15 time(sec) 20 25 30 Figure 0.20: Plot of generator angles without any extra control International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P. Bapaiah 31 Integral of error, I (t), is found out by trapezoidal method. The time interval [0, t] is divided into n time steps with an interval of Δt. Here k is the Kth time step, ek=error at time step k and Δt= time step interval (=1/50). Accordingly, for k = 1:n 4 8 x 10 7 6 I k I k 1 5 4 ) g e d (l e d t I k e t dt 2 (4.4) 0 1 The plot of relative angles of the generators is as shown in figure 4.19 and the plot of generator phase angles is shown in figure 4.20. del23 0 -1 (4.3) With initial conditions, e0 =0, I0 = 0, and del13 del12 3 1 ek ek 1 t 2 0 5 10 15 time(sec) 20 25 30 500 Figure 0.21: Plot of relative angles with no extra control From Fig 4.17, it can be seen that angle of generator 1 goes unsynchronized from those of generators 2 & 3. In order to make the angle of generator 1, to be in step with those of the other two generator angles, the power mismatch at Bus 1 has to be altered. This can be achieved by changing the power flow in the HVDC line through an augmented feedback control. kp=0.0013, ki=0.00061 400 del13 300 ) g e (d l e d 200 del13 100 del23 When employing a feedback loop, the error signal is defined to average out the acceleration force for all the three machines as follows [9]: P _ mis 3 P _ mis 2 H 3 H 2 p _ mis 1 e (4.1) H 1 2 0 -100 5 10 15 time(sec) 20 25 30 Figure 0.22: Plot of relative angles with PI control 4 4 x 10 3.5 where, P_mis(i) = Real Power Mismatch at Bus ‘i’ H(i) = Moment of Inertia of generator ‘i’. HVDC system’s current controller and line dynamics are not considered in this analysis. Accordingly, a realistic simple model for HVDC is adopted in the stability calculations. The extra energy introduced by the fault will be eventually smoothed out by an AGC as long as the machines are kept synchronized. 0 3 2.5 ) g e d l( e d 2 1.5 1 kp=0.0013, ki=0.00061 0.5 ii. Case II: With PI Controller System stability was augmented using a PI Controller. The control mechanism employed is given below [9]. Based on the error signal defined above, the flow in the DC line is changed as follows: where, Pdik 1 Pdik K p e k K i e t dt (4.2) Pdi = Active Power flow at the Inverter terminal. K=Time step. e= Error signal. Kp=Proportional constant (=0.0013). Ki= Integral constant (=0.00061). 0 0 5 10 15 time(sec) 20 25 30 Figure 0.23: Plot of Generator angles with PI control c.Multimachine System Considering Current Controller and Line Dynamics Now considering the dynamics associated with the current controller and the DC line the stability study is performed again. The DC line is represented by the transfer function model. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P. Bapaiah 32 i. Current Controller Here, proportional integral current controller is used and is shown in figure 4.21 4 x 10 10 K1=0.0006, K2=0.003 8 6 del12 )g e d (l e d 4 del13 2 del23 0 Figure 0.24: Current controller -2 ii. Auxiliary controller Here, a simple constant gain Auxiliary controller is employed and is shown in figure 4.22. The stability of the system is improved by varying the gain constant (Kw) of the above controller. 0 5 10 15 time(sec) 20 25 30 Figure 0.27: Plot of relative angles without any external control signal It is clearly seen that the system is becoming unstable, generator 2 and generator 3 are moving together whereas generator 1 falling out of synchronism, with this group. Considering the following signals: 2 1 3 1 error1 2 3 (4.5) 2 del2del1del3del1 error2 del2del3(4.6) 2 Figure 0.25: Constant Gain Controller iii. Case 1 Uncontrolled case Considering the same disturbance as in previous case, stability study is performed again. Here two extra differential equations representing the current controller and the HVDC Line dynamics are to be solved using the Runge – Kutta method. Here the taps are assumed to be constant and the mode shifts are not considered [1]. Without any extra control mechanism the plots of generator angles and their relative difference will be as shown in figure 4.23 and figure 4.24. 4 6 x 10 5 P _ mis 3 P _ mis 2 H 3 H 2 P _ mis 1 (4.7) error3 H 1 2 The signal error1, represents average error in the speed differences between the three generators. The signal error2, represents average error in relative angles between the three generators. The signal error3 is defined to average out the acceleration force for all the three machines. Different combinations of the above three signals are considered, in order to improve the stability. iv. Case 2 Considering the signal error3 as the control input, the plot of relative angles is as shown in the figure no 4.25. 4 del1 3 2 ) g e d l( e d 1 0 del2 -1 -2 del3 -3 -4 0 5 10 15 time(sec) 20 25 30 Figure 0.26: Plot of generator angles with no external control signal applied International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P. Bapaiah 33 200 Fig 4.27 Plot of relative angles with error1 and error3 as control signals 150 K1=0.005, K2=0.002, Kp=0.2, Kd=0.08 del13 0 del23 100 -200 del13 del12 del12 50 -400 ) g e (d l e d ) g e d (l e d -600 0 -800 del23 -50 -1000 -1200 0 5 10 15 time(sec) 20 25 -100 30 Figure 0.28:Plot of relative angles with error3 as the control signal v. Case 3 Considering the combination of error1 and error2 signals as the control input, the plot of relative angles is as shown in figure no 4.26. 10 15 time(sec) 20 25 30 vii. Case 5 Considering the combination of error2 and error3 signals to generate the control signals, the plot of relative angles will be as shown in figure no 4.28. Fig 4.28 Plot of relative angles with error2 and error3 as control signals 80 del13 del13 60 del12 40 40 del23 20 20 0 ) g e l(d e d -20 0 del23 -20 -40 -40 -60 K1=0.0065, K2=0.013, Kp=1.5, Ki=2 -80 -60 -80 5 Figure 0.30: Plot of relative angles with error1 and error3 as control signals 60 ) g e d (l e d 0 K1=0.0002, K2=0.0008, Kp=0.001, Ki=15 0 2 4 6 -100 8 10 time(sec) 12 14 16 18 Figure 0.29: Plot of relative angles with error1 and error2 as control signals vi. Case 4 Considering the combination of error1 and error3 signals to generate the required control signal, the plot of relative angles will be as shown in the figure no 4.27. 0 2 4 del12 6 8 10 12 time(sec) 14 16 18 20 Figure 0.31: Plot of relative angles with error2 and error3 as control signals viii. Case 6 Considering the combination of all the three signals to generate the control signal, the plots of the relative angles with different gains are as shown in figure (4.29) and figure (4.30). 100 K1=0.0006, K2=0.003, Kp=2.5, Ki=0.01, Kd=0.3 80 60 ) g e d (l e d del13 40 20 0 del12 del23 -20 -40 0 5 10 15 time(sec) 20 25 30 Figure no 0.32: Plot of relative angles with PID controller. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P. Bapaiah 34 100 References K1=0.0006, K2=0.003, Kp=2.5, Ki=0.02, Kd=0.2 80 [1] 60 del13 ) g e l(d e d 40 20 0 del23 del13 -20 -40 0 5 10 15 time(sec) 20 25 30 Figure 0.33: Plot of relative angles with PID controller The study reveals that the system can be stabilized by using a controller which produces the control signal given in equation 4.8. Control signal, error = Kp*error1+ Ki*error2 + Kd*error3 (4.8) Here the signal error2 is the equivalent to the integral of the signal error1, and the signal error3 is equivalent to the differential of the signal error1. Hence, the controller proposed above is equivalent to a PID controller. Then the control signal can be equivalently represented as in equation 4.9. error= Kp e(t)+Ki Ie(t)+Kd De(t) (4.9) Considering this, the methodology used in variable gain PID controller scheme can be applied to the above controller, to improve its performance. In the next chapter, a Fuzzy PID controller scheme is proposed to improve the stability of the system. V. CONCLUSIONS For the variations in the mechanical power of the generator, in the single machine system, the speed change signal as a control signal is more effective as shown in figures 4.5 to 4.9. For a parallel line outage, the variation in power, in the other parallel line, when used as the control signal, gives better performance as shown in figures 4.10 to 4.15. When the HVDC current controller and line dynamics are not considered, the transient stability of the multimachine system after the occurrence of the specified fault, is improved by using a PI controller with average acceleration as the control signal, as shown in figure 4.19 P. Kundur, “Power System Stability and Control”, McGrawHill, Inc., 1994. [2] Prabha Kundur, John Paserba, “Definition and Classification of Power System Stability”, IEEE Trans. on Power Systems., Vol. 19, No. 2, pp 1387- 1401, May 2004. [3] A. Panosyan, B. R. Oswald, “Modified Newton- Raphson Load Flow Analysis for Integrated AC/DC Power Systems”, [4] T. Smed, G. Anderson, “A New Approach to AC/DC Power Flow”, IEEE Trans. on Power Systems., Vol. 6, No. 3, pp 1238- 1244, Aug. 1991. [5] Stagg and El- Abiad, “Computer Methods in Power System Analysis”, International Student Edition, McGraw- Hill, Book Company, 1968. [6] Jos Arrillaga and Bruce Smith, “AC- DC Power System Analysis”, The Institution of Electrical Engineers, 1998. [7] K. R. Padiyar, “HVDC Power Transmission Systems”, New Age International (P) Ltd., 2004. [8] “IEEE Guide for Planning DC Links Terminating at AC Locations Having Low Short-Circuit Capacities”, The Institute of Electrical and Electronics Engineers, Inc., 1997. [9] Garng M. Huang, Vikram Krishnaswamy, “HVDC Controls for Power System Stability”, IEEE Power Engineering Society, pp 597- 602, 2002. [10] Choo Min Lim, Takashi Hiyama, “Application of A RuleBased Control Scheme for Stability Enhancement of Power Systems”, pp 1347- 1357, IEEE 1995. P. Bapaiah received Diploma in Electrical and Electronics Engineering from A.A.N.M&V.V.R.S.R Polytechnic, Gudlavalleru (INDIA) in 2002. Received his Bachelor degree in Electrical and Electronics Engineering from Gudlavalleru Engineering College, Gudlavalleru (INDIA) in 2006.Worked as Site Engineer in MICRON Electricals at Hyderabad in 2006-2008. And M.Tech in Power Systems Engineering from V.R.Siddhartha Engineering College, Vijayawada, Acharya Nagarjuna University Guntur, (INDIA) in 2010. He is currently working as an Assistant Professor in Electrical and Electronics Engineering Department at Amrita Sai Institute of Science and Technology, Paritala, (INDIA). His research interests include Power Systems, HVDC Transmission Systems, and Power Quality. Considering the HVDC current controller and line dynamics, it is observed that the transient stability of the multimachine system is improved only if the combination of all the three signals derived from relative speed, phase angle and average acceleration are used, as shown in figures 4.23 to 4.30. This paper demonstrates that, control mechanisms can be designed and incorporated for HVDC power modulation, to augment the stability of the power system. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Sourabh Jain, Shailendra Sharma and R.S. Mandloi 35 Improved Power Quality AC Drive Feeding Induction Motor Sourabh Jain, Shailendra Sharma and R.S. Mandloi Abstract: This paper deals with the power quality enhancement of induction motor drive used to operate in vector controlled mode. The improved power quality AC drive consists of voltage source converter (VSC), voltage source inverter (VSI) and an intermediate DC bus supported with capacitors. The performance of improved power quality AC drive is demonstrated on developed simulation model. The obtained result verifies performance of improved power quality AC drive in all four quadrants. Keywords: PWM Rectifier, Indirect Vector Control Drive, Unit template (UTT), Regenerative operation NOMENCLATURE Rr Lr Lm ids iqs idr iqr ∗ ∗ Ψ Ψ Vref VDC Vabc Ua Ub Uc Ia, Ib, Ic Rotor resistance(referred to rotor side ) Rotor leakage Inductance Magnetizing Inductance Magnetizing component of stator current Torque component of stator current d-axis rotor current q-axis rotor current Reference magnetizing component of stator current Reference Torque component of stator current d-axis rotor flux linkage q-axis rotor flux linkage Rotor flux Rotor frequency (rad/s) Electrical frequency (rad/s) Slip frequency (rad/s) Rotor mechanical speed Reference Speed Base Speed Rotor angle Angle of synchronously rotating frame Slip angle Reference voltage Intermediate DC voltage Three Phase Supply Voltage Unit template of Phase a,b,c Three phase stator current I. INTRODUCTION The squirrel cage induction motor is most versatile in industry due to its less maintenance, cheap in cost and rugged in construction [1]. Due to its constant speed characteristics, it is not inherently considered as suitable choice for applications which needs variable speed operation [2]. There have been many control techniques reported in literature which facilitates variable speed operation namely V/f control, vector control and direct torque control (DTC) [3]. The V/f control technique allows the induction motor to deliver its rated torque at speed up to its rated speed, beyond the rated speed, its torque capability is declined [4]. However with this control technique the performance under transient condition is inferior. Vector control technique allows a squirrel-cage induction motor to drive with high dynamic performance. It provides a decoupling of two components of stator current: one producing the airgap flux and the other producing the torque. Therefore, it allows independent control of torque and flux, which is similar to a separately excited dc machine [3]. In Indirect vector control, field angle has been obtained by using rotor position measurement and partial estimation of machine parameters [2]. The magnitude and phase of the stator currents has been controlled in such a way that flux and torque components of current remain decoupled under dynamic and static conditions [3]. Moreover in many applications such as conveyors, trolleys, electric vehicles, locomotives, traction etc. it is required to achieve fast dynamic response in all four quadrant namely forward motoring, forward braking, reverse motoring and reverse braking. In commercial available drives mostly diode bridge rectifier has been used to convert AC into constant voltage DC which creates problem such as ‘poor power factor’, ‘highly discontinuous current’, ‘injection of harmonics into AC mains’ and ‘fluctuations of dc link voltage’ [5]. This paper deals with a four quadrant improved power quality induction motor drive using a voltage source inverter (VSI) and a voltage source converter (VSC) with intermediate DC link. Sourabh Jain, Shailendra Sharma and R.S. Mandloi are with Department of Electrical engineering, SGSITS, Indore, M.P., India, Emails: jain.sourabh85@gmail.com, ssharma.iitd@gmail.com, ravindrasmandloi@yahoo.com International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Sourabh Jain, Shailendra Sharma and R.S. Mandloi 36 Fig.1 Block Diagram of IFOC induction motor drive II. SYSTEM CONFIGURATION The system under consideration is shown in Fig.1.The insulated gate bipolar transistor (IGBT) based VSI is controlled using the indirect vector control. It also consists of three phase VSC. The VSC and VSI shares common DC link. The intermediate point of each-leg of a VSC is connected to input supply through an interface inductor. A star connected high pass filter is used at VSC terminals to absorb switching ripples. Similarly midpoint of each leg of the VSI is connected to star connected three-phase induction motor. Parameters of proposed system are given at appendix 1 2. The rotor current equations can be obtained by putting Eq.(5)-(6) in eq. (1)-(2) as Ψ Ψ − + − Ψ =0 Ψ + Ψ − Ψ =0 Where = − The rotor flux linkage equation as, Ψ = + Ψ = + Eq. (3)-(4) can be rearranged as, 1 = Ψ − = 1 Ψ − (2) + For decoupling control Ψ =0 Ψ =0 Ψ − Ψ (8) =0 So that the total rotor flux Ψr is directed on de-axis + III. CONTROL SCHEME A. VSI Control The VSI is controlled using indirect field orientation control (IFOC), which is also known as flux feed-forward control. Block diagram of IFOC technique shows in Fig.2. IFOC is derived from dynamic equation of induction motor, unit vector signals are generated in feed forward manner. The stator phase current serves as input, hence the stator dynamics can be neglected. The rotor equation containing flux linkage as a variable given as (1) + + =0 − (7) (9) = From the q-axis current components and slip gain, the slip speed relation is obtained as: ∗ (10) = ∗ = , = = The slip speed, together with the feedback rotor speed, is integrated to obtain the stator reference flux linkage space vector position (11) = = ( + ) = + The actual rotor speed and sensed rotor speed is compared. Speed error acts as input to proportional integral (PI) controller, which provides a torque controlling current component ∗ of the stator current. This current component is used to regulate the torque along with the slip speed. The output of the PI controller is given as: (12) ∗ = Δ + Δ (3) Similarly the flux producing current component ∗ , is obtained from the stator flux linkage reference value and (4) given by the following equation, (13) ∗ = Ψ∗ (5) with ∗ = k Ψ∗ (6) ∗ =k International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Ψ∗ if 0 ≤ otherwise ≤ > Vol. 2, Issue. 1, April-2013. Sourabh Jain, Shailendra Sharma and R.S. Mandloi The flux reference is constant till the reference rotor speed below its rated speed, but if motor runs above rated speed, flux weakening essential. 37 = , = 2 2 2 2 Va Vb Vc 3 , (15) = Fig.2 Block diagram of control of VSI B. Control of VSC The block diagram of control algorithm used for a front end VSC is shown in Fig.3. The control scheme ensures constant DC bus voltage and unity power factor at supply sides even under change in load. The reference DC link voltage (Vref) is compared with the actual DC link voltage and error voltage is proceed through a PI controller, the voltage controller output is multiplied by the in phase unit template of each phase. These reference currents are compared with sensed currents and the error signals are used as input to a PWM modulator which provides pulses for the VSC [10]. The amplitude of phase voltage is obtained as, (14) 2 ( + = + ) 3 The in-phase template are derived as Fig.3 Block diagram of control of VSC IV. MATLAB-BASED SIMULATION The improved power quality AC drive for induction motor is modeled in MATLAB using Power System Blockset. Fig. 4 depicts the setup used to estimate the performance of the AC drive with proposed control scheme through simulation. The source block connected with a threephase voltage source active rectifier block. Three leg IGBTs based VSC, capacitive filter and input side inductive filter used as an active rectifier. The performance of the drive is controlled by IFOC controlled VSI. Effectiveness of proposed system improved by VSC at supply sides. Fig.4 Simulation model of IFOC control induction motor drive V. SIMUALTION RESULTS Results are obtained on developed simulation model to demonstrate the performance in the steady state and transient condition shown in Figs.4 to 6. The parameters used in simulation are given appendix 1 2. A. Performance of System During Starting mode Fig.5 shows the simulation results during motoring condition without load applied. At start, rated current is observed to accelerate the motor. After that current is settled. At time 350ms, a 25N-m load is applied on motor. The dc link feedback controller acts to keep dc link voltage at its reference value. B. Performance of System on Braking mode Till during time, 0 to 500ms AC drive runs in motoring mode, the fundamental input current is in phase with supply voltage. After this time interval, braking is applied on motor. During this time VSC DC link current (Idc-recti) is divided into two components i.e. capacitor current (Idc-capa) and output current (Idc- o/p) which fed into VSC. The observed results are shown in Fig.6. C. Regenerative Braking mode At time t4=1.0 sec. the motor reference speed should be negative. Rotor rotates at opposite direction. Small fluctuation is found in DC link voltage. After time t =1.32 sec. The reference speed is changed negative to zero and International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Sourabh Jain, Shailendra Sharma and R.S. Mandloi regenerative braking is applied on motor. In this mode, supply currents are fed to the source, variations in currents are shown in Fig.7. VSC currents are observed negative. 38 Zero speed tracking error is achieved during steady-state conditions and with reference speedvariation. Fig.5 Simulation results: Motoring mode International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Sourabh Jain, Shailendra Sharma and R.S. Mandloi 39 template algorithm has been developed for control of VSC. The performance of developed AC drive has been demonstrated under starting, motoring and braking modes and it is found satisfactory. VII. APPANDIX THREE PHASE INDUCTION MOTOR PARAMETER Rated Power = 7.5 kW Rs=0.7384Ω Rated voltage = 415V Rr′ = 0.7402Ω Rated current = 14.5A Ls=0.003045H Rated Speed Ns =1450r/min Lr=0.003045H Frequency f = 50Hz Lm = 0.1241H Poles Pair p = 2 J = 0.0343 kg.m2 Friction Factor(F) =0.000503 N.m.s Kp = 6.28 Ki = 0.96 1. 2. VOLTAGE SOURCE CONVERTER(VSC) PARAMETER Supply Voltage = 415V Line Impedance Rs= 0.5 Ls= 5mH Frequency = 50Hz Filter Rf = 5Ω C f = 20µF Fig.6 Simulation results: Braking mode DC bus capacitance = 7500 µF Switchs(Sw1 – Sw6) = IGBTs Kp = 0.36 Ki = 3.2 REFERENCES [1] Bimal K Bose, Modern Power Electronics and AC Drives, Pearson education [2] R.Krishan, Electric motor drives modeling, analysis & control, PRENTICE HALL [3] P. C. Sen, “Electric Motor Drives and Control-Past, Present, Fig.7 Simulation results: plugging and regenerative braking VI. CONCLUSION An improved power quality induction motor drive has been modeled and simulated. A three leg voltage source converter (VSC) and a voltage source inverter (VSI) has been used to develop four quadrant induction motor drive. An indirect vector control has been used for controlling a VSI. A unit and Future” IEEE Transactions on Industrial Electronics, Vol. 37, No. 6, December 1990 [4] N.Mohan, T.M.Undeland, and W.P.Robbins, Power Electronics, John Wiley, Newyork,1995 [5] Singh B. ; Singh B.N. ; Singh B.P. ; Chandra, A. ; AlHaddad, K., “Unity Power Factor Converter-Inverter Fed Vector Controlled Cage. Motor Drive without Mechanical Speed Sensor”, IEEE Conference Publications 1995 [6] J Vithayathil, Power Electronics: principles and applications, McGraw-Hill, Newyork , 1995 [7] H Akagi, “New trends in active Filters for power conditioning”, IEEE Trans.on Ind. Appl., 1996, 32, pp. 1312– 1322 [8] Lipo T.A., “Recent progress in the development of solid-state ac motor drives”, IEEE Trans, on Power Electronics, Vol.3, No.2, pp.105-117, Jan. 1988. [9] Bose B.K., “Evaluation of modern power semiconductor devices and future trends of converters”, IEEE Trans, on Industry Applications,Vol.IA-28, No.2, pp.403-413, March/April 1992. [10] Mika Salo, Heikki Tuusa “A Vector-Controlled PWM Current-Source-Inverter-Fed Induction Motor Drive With a New Stator Current Control Method” IEEE Transactions on Industrial Electronics, Vol. 52, No. 2, April 2005 International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Sourabh Jain, Shailendra Sharma and R.S. Mandloi 40 [11] E.W.Gunther and H.Mehta, “A survey of distribution system power quality” ,IEEE Trans. On Power Delivery, vol.10, No.1, pp.322-329, Jan.1995. [12] José R. Rodríguez, Juan W. Dixon,José R. Espinoza,Jorge Pontt, and Pablo Lezana, “PWM Regenerative Rectifiers: State of the Art” IEEE Trans. on Industrial Electronics, Vol. 52, No. 1, February 2005 [13] Brod D.M. and Novotny D.W., "Current control of VSI-PWM inverters", IEEE Trans, on Industry Applications, Vol. IA- 21, No.3, pp.562-570, May/June 1985. [14] J. Rodríguez, L. Morán, J. Pontt, J. Hernández, L. Silva, C. Silva, and P. Lezana, “High-voltage multilevel converter with regeneration capability,” IEEE Trans. Ind. Electron., vol. 49, no. 4, pp. 839–846, Aug. 2002. [15] H. Fujita and H. Akagi, “The unified power quality conditioner: the integration of series- and shunt-active filters,” IEEE Trans. Power Electron.,vol. 13, no. 2, pp. 315–322, Mar. 1998. [16] Singh B.N., Singh Bhim and Singh B.P., “Performance analysis of closed loop field oriented cage induction motor drive”, Journal of Electric Power Systems and Research, Vol.29 No.2, pp.69-81, Feb.1994. [17] Vas Peter, “Vector Control of AC Machines", Clarendon Press Oxford, 1990. [18] F. Blashke, “The principle of field-orientation as applied to the new transvector closed-loop control system for rotating field machines,” Siemens Rev., vol. 34, no. 5, pp. 217–220, 1972. [19] Huang, M.S.; Liaw, C.M. “Improved field weakening control for IFO induction motor” IEEE Transactions on Aerospace And Elecronic Systems, Vol. 39, No. 2 pp. 647-659 April 2003 [20] P. Farmanzadeh, “A robust controller design to stabilize induction motor drive operation using (IFOC) method” in Proc. IEEE PEDSTC, 2012, pp. 218 - 222 [21] E. Etien, C. Chaigne, and N. Bensiali, “On the stability of full adaptive observer for induction motor in regenerating mode,” IEEE Trans. Ind. Electron., vol. 57, no. 5, pp. 1599–1608, May 2010. [22] A. V. Ravi Teja and C. Chakraborty, “A novel model reference adaptive controller for estimation of speed and stator resistance for vector controlled induction motor drives,” in Proc. IEEE ISIE, Bari, Italy, 2010, pp. 1187–1192. R.S.Mandloi has obtained his B.E from Shri Govindram Seksaria Institute of Technology and Science (SGSITS), Indore, in 2003. He has obtained his M.E from Shri Govindram Seksaria Institute of Technology and Science (SGSITS), Indore, in 2006. He has 6 years experience. He is presently working as an Assistant Professor in SGSITS Indore. He is working in the area of Power electronics, Drives and power quality. Sourabh Jain has obtained his B.E from Samrat ashok technology institute vidisha in the year 2008. He has obtained his M.E from Shri Govindram Seksaria Institute of Technology and Science (SGSITS), Indore, in 2012. He has 2 years experience. He is working in the area of Power electronics, Electric drives and power quality. Dr. Shailendra Sharma was born in Indore, India, in 1972. He received the M.E. degree in electrical engineering with specialization in electronics from the Shri Govindram Seksaria Institute of Technology and Science (SGSITS), Indore, in 2004. He got Ph.D. degree in the Department of Electrical Engineering, Indian Institute of Technology (IIT) Delhi, New Delhi. He has five years of industrial experience as an Erection and Commissioning Engineer with M/s Dhar Textile Mills Ltd., Indore. In 2004, he joined the Department of Electrical Engineering, SGSITS, as an Assistant Professor. His fields of interest include power electronics, electric drives, power quality, and renewable energy systems. Mr. Sharma is an Associate Member of the Institution of Engineers, India. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Jil sutaria, Manisha shah and Chirag chauhan 41 Comparative Analysis of Single Phase and Multiphase Bi-Directional DC-DC Converter Jil sutaria, Manisha shah and Chirag chauhan Abstract--A dc-dc converter has its applications, such as in hybrid vehicles, solar inverters, in power supplies for microprocessors etc. A bidirectional dc-dc converter can be alternately operated as a step down converter in one direction of energy flow and as step up converter in reverse direction of energy flow, in places where both the sides have voltage sources. A high voltage supply using a single converter is not preferred as it leads to high ripple in output voltage and current, thus requiring large value of inductor and filter capacitor. To overcome these limitations multiphase interleaving technique is used in bidirectional dc-dc converters i.e. connecting the converters in parallel with the switching instants equally distributed among them. This paper presents a comparative study of the single phase and multiphase bi-directional dc-dc converter and the optimization of inductor and filter capacitor. The open loop simulation is done using simulink tool and conclusions are drawn. Keywords: Bi-directional, Interleaved, Multiphase, Ripple. I. INTRODUCTION The bidirectional DC-DC converters with energy storage device have become very useful these days in various applications where power flow is required to and from the energy storage devices. The various applications are listed below. Hybrid electric vehicles(HEV) Fuel cell energy systems Renewable energy storage systems Un-interruptible power supplies(UPS) Battery chargers Microprocessor applications The DC-DC converters are designed in such a way that they regulate the output voltage against the changes in the input voltage and load current. It not only reduces the cost but improves the efficiency of the system. The converters can be broadly classified into isolated and non-isolated converters depending on whether isolation is provided between source and load. Based on this the converters are reviewed in [1] and was concluded that the isolated converters mainly used in renewable energy applications , HEVs and more whereas the Non-isolated are used in supply to microprocessors, UPS etc. The isolated converters are commonly used for high voltage application such as battery charging, as they provide galvanic isolation between load and source [2]. The presence of transformer in them leads to increase in their size, cost and losses. The non-isolated bidirectional dc-dc converter (NBDC) is therefore preferred in those systems where high power density and high efficiency is required. NBDC employing three inductors and four switches for reducing current stress on switch and to get zero voltage transition is used for HEV, but the control of the converter here becomes complex [3]. Two n-level diode-clamped converter legs connected back-to-back form an n-level converter. This topology is used where both the sides of converter need to have same grounding. The main feature of this topology is use of lower voltage rating devices due to requirement of lower blocking voltages. Two level and five level converters are proposed in [4] and [5]. The current unbalance in capacitors is the main limitation of the n-level topology. The half bridge NBDC topology is used in [6], for energy storage during regenerative breaking of DC motor. The half bridge topology used here has less number of switches and is easy to control. This paper explores the possibility of using half bridge NBDC connected in parallel for high voltage application, thereby eliminating the use of transformer, making it compact and achieving high power density and high efficiency. Two bidirectional converters connected in parallel, with same input and output are used. The study of single phase and two phase bi-directional dc-dc converter is made and the values of inductor and filter capacitor are optimised. II. DIFFERENT TOPOLOGIES USED IN NON-ISOLATED CONVERTERS The NBDC topologies have been proposed in many ways some with two switches and diodes for implementing ZVS and ZCS, some having four switches .The four-switch NBDC is shown in fig. 1. The left to right power transfer mode, Q1 and Q4 act as active switches, while in the right to left power transfer the opposite switches (Q2 and Q3) are controlled [7]. Jil sutaria is a Student, M Tech, Power electronics, machines and drives, Nirma University, Manisha shah is working as Professor, Electrical department, Nirma University and Chirag chauhan working in R&D head, Suvik electronics Pvt Ltd, Email: 11meep15@nirmauni.ac.in International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Jil sutaria, Manisha shah and Chirag chauhan 42 Fig. 3. Single phase half bridge bi-directional dc-dc converter. Fig. 1. Four switch NBDC. The limitation here is that four switches are used, so switching losses increases. For reducing the size of the inductor and filter capacitor multiphase interleaving is used. The fig. 2 shows multi device interleaved Boost converter with two phase [13]. The switch S1 and S3 are connected to inductor L1 are operated at 0 degree and 180 degree respectively. The switch S2 and S4 are connected to L2 are operated at 90 degree and 270 degree respectively. The two phase topology shown in Fig. 4 along with interleaving switching scheme forms two phase interleaving converter. In the interleaving scheme [9] the PWM signals are separated in phase over a switching period in 2∏/N radians, being N the number of cells in parallel. The gating signals are generated by comparing ramp signal with constant, which is the duty cycle. As the individual input current of each converter is displaced from the others, the net effect is that the input and output current exhibits a switching frequency equal to N* fs with reduced current ripple. Thus the size of input and output capacitor reduces. Fig. 4. Two phase half bridge topology. Fig. 2. Multidevice Boost converter. The main drawback here is that the number of switches used per phase increases, thus increasing the switching losses, and also the duty cycle of the switches should be maintained equal, as any changes in it will lead to unequal current sharing per phase, leading to high output current ripple. III. CIRCUIT DESCRIPTION AND OPERATION A. Chosen topology The Non-isolated half bridge converter topology consisting of two switches with anti-parallel diode connected across them is shown in Fig. 3. The switch and anti-parallel diode gives it the bidirectional nature. It is essentially a two quadrant chopper, where the output voltage always remains positive but the current becomes positive or negative depending on the direction of power flow [8]. B. Circuit description The multiphase converter is represented by a general purpose model shown in fig. 2 [5]. There are two dc sources including high side bus voltage source and low side battery source representing both voltage sources of the bidirectional dc-dc converter. With two voltage sources, the averaged inductor current or averaged output current Io can flow in both directions. Resistor represents either high side source internal resistance in buck mode or load in boost resistive load application. Resistor represents either low-side source internal resistance in Boost mode or load in buck resistive load application. Capacitor and indicate the bus capacitor bank and the output capacitor at battery side respectively. C. Circuit operation The working of the circuit is in two modes: Boost mode Buck mode To make the converter work in continuous conduction mode the duty cycle for Boost and Buck mode should be maintained such that D1 + D2 = 1, where D1 is duty cycle in boost mode and D2 is the duty cycle for Buck mode. The two phases work 180 degree phase shifted in one switching cycle, thus the charging and discharging time of each inductor is reduced to half .During Boost mode, acts as a source with switching period T. The lower switch S1 gets the gating signal and the switch turns on, current flows through inductor L1, charging it for a period of D1*(T/2). The charged inductor and the Source get connected to the load through the upper diode D3 for a period of (1-D1)*(T/2), giving high output. The other International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Jil sutaria, Manisha shah and Chirag chauhan 43 switch S2 turns on after 180 degree from the switch S1, charging the inductor L2 for D1*(T/2). The inductor and the source get connected to the load for a period of (1-D1)*(T/2). Both the inductors share equal amount of current. During the Buck mode acts as source, and the switches S3 and S4 conduct for a period D2*(T/2), and freewheeling is done through diodes D1 and D2 for a period (1-D2)*(T/2). IV. DESIGN CALCULATION The DC-DC converters can be classified as Buck bi-directional and Boost bi-directional depending on where the energy storing element is placed. The design equation of both Buck and Boost converter are valid in designing this converter. In this paper the converter is designed as Boost converter. The specifications of the converter are given below: TABLE I SPECIFICATIONS OF DC-DC CONVERTER When 7.2 mH is used the input ripple current exceeds the allowed value of ripple current in single phase, so a larger inductor could be used to limit it or higher ripple can be allowed. For two phase the same equation is valid but the value of is reduced by N as two inductors charge in the same switching cycle. The current is divided among each phase so the overall ripple current allowed from each inductor can be increased. The value of inductor is thus halved i.e. 3.6 mH, but doing so Input ripple current exceeds the Δ . The effect of reduced ripple is seen only at the input and output, the ripple through individual inductor comes to be higher. Therefore the same value of inductor i.e. 7.2 mH is used in single phase and two phase converter. B. Capacitor calculation The value of allowed output voltage ripple is 1 %.Thus the voltage ripple is equal to, ΔV = = 4.5 V (4) In a multiphase converter the frequency as seen by the input and output capacitor is N *fs, since the two converters are connected in parallel and are operated 180 degree out of phase. The ripple frequency thus increases leading to reduction in size of capacitor. The value of capacitor can be calculated as follows: The maximum battery voltage can is 120 V. Therefore = 120 V As the battery can be allowed to discharge till 60 % the minimum input voltage comes out to be: = = 72 V (1) The Value the input current and the output current calculated are 8.33 A and 2.22 A respectively. A. Inductor calculation The calculation of inductor depends on the minimum input voltage, inductor charging time and allowed ripple current. Now for single phase, the value of the inductor can be calculated as given below: = 7.2mH L= (2) Where, the time taken to charge the inductor = = 42 s , C= = 8.88 µf (5) The used value capacitor used in two phase converter is 9 µf, whereas in single phase converter it is 18 µf. V. SIMULATION RESULTS loop simulation is done for both Buck and Boost mode of operation in continuous conduction mode of the converter. The specifications considered for simulation are given in Table I and the value of passive components used are as calculated in design parameters. Fig. 4 shows the generalized model used for simulation. The results for single phase and two phase are shown and compared. Resistive load of 202.5 Ω is used when operated in Boost mode and 14.4 Ω is used in Buck mode. A. Boost mode The resulting Output voltage, Input current for single phase and two phase are shown below. (3) The allowed input ripple current Δ Δ = 8.33 0.05 = 0.4166 A depends on the maximum output voltage and minimum input voltage. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Fig. 5(a). Output voltage: single phase converter. Vol. 2, Issue. 1, April-2013. Jil sutaria, Manisha shah and Chirag chauhan 44 [X-axis: 1 div = 0.001 Sec Y-axis: 1 div =1 V] The value of output current remains same in both single phase and two phase but the ripple in output current is much less in case of two phase than in single phase. The value of ripple content is tabulated in table 2. Fig. 5(b). Output voltage: Two phase converter. [X-axis: 1 div = 0.001 Sec Y-axis: 1 unit =1 V] Fig. 8(a). Inductor current: one phase. [X-axis: 1 div = 0.001 Sec Y-axis: 1 div = 0.1 A] Fig. 6(a). Input current: single phase. [X-axis: 1 div = 0.001 Sec Y-axis: 1 div = 0.2 A] Fig. 8(b). Inductor current: two phase. [X-axis: 1 div = 0.001 Sec Y-axis: 1 div = 0.1 A] Fig. 6(b). Input current: two phase. [X-axis: 1 div = 0.001 Sec Y-axis: 1 div = 0.2 A] It can be observed from Fig. 5(b), Fig. 6(b) that the ripple frequency at the output and input is twice then that in single phase. The peak to peak (pk-pk) ripple in output voltage and input current is lower in two phase. The ripple in output voltage is 33.3% less in two phase as compared to single phase. The input current ripple in single phase is 75% higher than that in two phase. As observed from Fig. 8(b), the inductor current in two phase is shared equally among the two inductors, thus the ripple current allowed in both the inductors can be increased. Also it is noticeable that current through one inductor rises while the other falls, thus cancelling out the ripple, resulting in ripple reduction in output current. B. Buck mode Similar results were observed in Buck mode. Fig. 9. Output voltage: two phase converter. [X-axis: 1 div = 0.5 Sec Y-axis: 1 div =20 V] Fig. 7(a). Output current: one phase. [X-axis: 1 div = 0.001 Sec Y-axis: 1 div = 0.005 A] Fig. 10. Output current: two phase converter. [X-axis: 1 div = 0.5 Sec Y-axis: 1 div =2 A] Fig. 7(b). Output current: two phase. [X-axis: 1 div = 0.001 Sec Y-axis: 1 div = 0.005 A] Fig. 9 and Fig. 10 show the output voltage and output current in Buck mode for two phase. The value of output voltage is positive 120 V, whereas the value of current is negative 8.33 A International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Jil sutaria, Manisha shah and Chirag chauhan 45 proving bi-directional power flow. Also the value of ripple in output current is 0.3 % of the allowed ripple. VI. COMPRISION OF SINGLE AND TWO PHASE BI-DIRECTIONAL CONVERTER The comparison of peak to peak ripple in single phase and two phase output voltage, input and output current ripple is tabulated below. TABLE II COMPARISION OF RIPPLE CONTENT IN SINGLE PHASE AND TWO PHASE CONVERTER Fig. 11(a). Input current: single phase. [X-axis: 1 div = 0.0005 Sec Y-axis: 1 div =2 A] Fig. 11(b). Input current: two phase. [X-axis: 1 div = 0.0005 Sec Y-axis: 1 div =2 A] It can be observed from Fig. 11(a) that the input current shows the rising slope for a time when inductor charges and becomes zero during freewheeling time. The value of input current is double in single phase than that in two phase as shown in Fig. 11(b). From Table II it can be concluded that the ripple content obtained in two phase converter is well within the range of allowed ripple content. The value of input current ripple in single phase Boost mode is 0.6Apk-pk whereas in two phase it is 0.4Apk-pk, which is allowed. Thus in single phase the value of inductor is to be increased to almost double of the value used in two phase to bring back the ripple in allowable range. The value capacitor decreases to half the value in single phase, due to the use of multiphase interleaving. Thus the value of passive components is optimized, making the converter compact. VII. CONCLUSION Fig. 12(a). Inductor current: single phase. [X-axis: 1 div = 0.0005 Sec Y-axis: 1 div = 0.1 A] Fig. 12(b). Inductor currents: two phase. [X-axis: 1 div = 0.0005 Sec Y axis: 1 div = 0.1 A] Fig. 12(a) and Fig. 12(b) show the single phase and two phase inductor currents. It is observed from Fig. 12(a) that as only one inductor charges and discharges in a cycle, so the charging time taken by it is more, so its value is higher. As seen in Fig. 12(b) two inductors are used, so the current as well as time of operation is shared among them, thereby reducing the values. In this paper the open loop simulation of single phase and two phase half bridge bidirectional DC-DC converter is done using Simulink tool on resistive load. The converter can be used in applications where one side source is battery and other side source is constant DC link voltage like in UPS or HEV. The converter acts in buck mode while charging the battery and acts in Boost mode while discharging the battery. It was observed that by using the two phase topology with interleaving switching technique the ripple frequency seen at the input and output is twice as compared to single phase thus leading to reduced ripple in both the working modes. As the switching frequency seen is twice the actual switching frequency, the value of capacitor reduces to half along with reduction in switching losses. This increases the efficiency and power density of the two phase converter. The overall thermal losses of the two phase converter are limited due to division of the power between the two phases. REFERENCES [1] K.C.Ramya, V.Jegathesan,”Review of Bi-Directional DC-DC Converters Suited For Various Applications”, International Journal of Research and Reviews in Electrical and Computer Engineering (IJRRECE) ,Vol. 2, No. 2, June 2012 International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Jil sutaria, Manisha shah and Chirag chauhan 46 [2] T.-F. Wu, Y.-C. Chen, J.-G. Yang, Y.-C. Huang, S.-S. Shyu* and C.-L .Lee*, "1.5 kW Isolated Bi-directional DC-DC Converter with a Flyback Snubber", PEDS 2009,pp.164-169,2-5 Nov 2009. [3] M. Ahmadi, Student Member, IEEE, K. Shenai, Fellow, IEEE, “New, Efficient, Low-Stress Buck/Boost Bidirectional DC-DC Converter”, Energytech 2012,pp 1-6 [4] Petar J. Grbovi´c, Senior Member, IEEE, Philippe Delarue,Philippe LeMoigne, Member, IEEE, and Patrick Bartholomeus, “A Bidirectional Three-Level DC–DC Converter for the Ultra capacitor Applications”,IEEE transactions on industrial electronics, Vol. 57, N0. 10, October 2010 [5] Sergio Busquets-Monge, Salvador Alepuz, Josep Bordonau,member IEEE,” A Novel Bidirectional Multilevel Boost-Buck Dc-Dc Converter.” Energy conversion congress and exposition.2009. [6] Premananda Pany1*, R.K. Singh2, R.K. Tripathi2, “Bidirectional DC-DC converter fed drive for electric vehicle system”, International Journal of Engineering, Science and Technology, Vol. 3, No.3, 2011, pp.101-110 [7] S. Waffler and J. Biela and J.W. Kolar ,”Output Ripple Reduction of an Automotive Multi-Phase Bi-Directional DC-DC Converter”, IEEE 2009 [8] Ned Mohan,Tore. M. Undeland “Converters applications and design”,Wiley publication, 2011. [9] Kevin Thomas Delrosso ,”Analysis and Design of interleaving multiphase DC- DC converter with LC _lter" , A thesis resented to Faculty of California Poly- technic state University. [10] Junhong Zhang , “Bidirectional DC-DC Power Converter Design Optimization, Modeling and Control”, Dissertation submitted to the Faculty of the Virginia Polytechnic Institute. [11] Dr Miroslav Lazi1, Dr Milo ivanov2 and Boris ai Iritel.AD Beograd,FTN Novi Sad,Spellman New York ,Serbia USA, Desing of Multiphase Boost Converter for Hybrid Fuel Cell or Battery Power Sources. [12] A. Garrigo´s*, J.M. Blanes, J.L. Liza´n, “Non-isolated multiphase Boost converter for a fuel cell with battery backup power System”, International journal of hydrogen energy, volume 36, issue 10, 2011 [13] Omar Hegazy, Member, IEEE, Joeri Van Mierlo, Member, IEEE, and Philippe Lataire, “Analysis, Modeling, and Implementation of a Multidevice Interleaved DC/DC Converter for Fue Cell Hybrid Electric Vehicles” IEEE transactions on power electronics, Vol. 27, No. 11, November 2012 International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Pankaj Warak 47 Mathematical Modelling of Inverted Pendulum with Disturbance Input Pankaj Warak Abstract— The Inverted Pendulum is an inherently open loop & closed loop unstable system with highly nonlinear dynamics. This is a system which belongs to the class of under actuated mechanical system having fewer control inputs than the degrees of freedom. The Inverted Pendulum is a very common problem and so being one of the most important classical problems, the control of Inverted Pendulum has been research interest in the field of control engineering. In this paper modelling of nonlinear Inverted Pendulum-cart dynamic system with disturbance input have been presented. The aim of this case study is to stabilize the Inverted Pendulum such that the position of the cart system on the track is controlled quickly and accurately so that the Pendulum is always erected in its inverted position during such movements. Then, a linearized model is obtained from the nonlinear model about vertical equilibrium point. Keywords— Inverted Pendulum, Nonlinear System, Disturbance Input. 1 INRODUCTION Just like the broom-stick, an Inverted Pendulum is an inherently unstable system. Force must be properly applied to keep the system intact. To achieve this proper control is required. The Inverted Pendulum is a nonlinear time variant open loop system. So the standard linear technique cannot model the nonlinear dynamics of the system. This makes the system more challenging for analysis. The dynamics of actual non-linear system is more complicated. But this system can be approximated as a linear system if the operating syatem is small, i.e. the variation of the angle from the norm. 2 MATHEMATICAL MODELLING 2.1 Equations Of Motion The diagram of a motor driven cart mounted inverted pendulum is shown in fig.4.1 If we remember ever trying to balance a broom-stick on our index finger of the palm of our hand, we had to constantly adjust the position of our hand to keep the object upright. An Inverted Pendulum does basically the same thing. But in case of an Inverted Pendulum the motion is restricted to one dimension only, where as in case of broomstick the hand is free to move in any directions. Inverted Pendulum is very good platform for control engineers to verify and apply different logics in the field of control theory. Most of the modern technologies use the basic concept of Inverted Pendulum, such as attitude control of space satellites and rockets, landing of aircrafts, balancing of ship against tide, Seisometers which monitors motion of the ground due to earthquake and nuclear explosions etc. An Inverted Pendulum has its mass above the pivoted joint, which is mounted on a cart which can be moved horizontally. The Pendulum is stable while hanging downwards, but the Inverted Pendulum is inherently unstable and need to be balanced. In this case system has one input- the force applied to the cart, and one disturbance input here wind effect is considered, and two outputs – position of the cart and angle of the Pendulum, making it as a MIMO system. There are mainly three ways of balancing an Inverted Pendulum i.e. (i) by applyaing a torque at the pivoted point. (ii) by moving the cart horizontally. (iii) by oscillating the support rapidly up and down. Pankaj Warak is a Student, M.E. Control Systems, K.K.W. COE. &Research, Nashik, Email: pwarak@gmail.com. Fig.2.1 Inverted Pendulum-Cart System It is assumed here that pendulum rod is mass-less, and hinge is frictionless. The cart mass and the ball point mass at the upper end of the inverted pendulum are denoted as M and m, respectively. There is an externally x-directed force on the cart, u(t), and the gravity force acts on the point mass at all times. The co-ordinate system is considered is shown in fig.4.1, where the x(t) represents the cart position and ө(t) is the tilt angle referenced to the vertically upward direction. Consider the inverted pendulum model with state feedback with an additional disturbance input due to wind effects. Let Fw represents horizontal wind force on the pendulum point mass. The free body diagram of cart system and pendulum is shown in fig.4.2 mass and fig.4.3. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Pankaj Warak U(t) 48 Fw N (l + ml2)Ӫ + mgl SinӨ = - mlẍ CosӨ 2.6 The system under consideration is a non-linear system. For ease of modeling and simulation, we have to take a small case approximation such that the system will be linear one. Let’s take a linearization point wiil be Ө= П. P Say Ө = П + Ф, x ẋ M Where, Ф is the angle between the pendulum and vertical upwarddirection. If you choose Ф~0 then CosӨ= -1, SindӨ/(dt) 2 = 0. Fig.2.2 Free Body Diagram Of Cart So, after linearization equation (2.6) becomes, .. .. ( I ml 2 ) ml ml x 2.7 And equation (2.3) becomes, .. .. (M m) x ml u Fw 2.8 2.2 Transfer Function Pendulum Where, joint The transfer function of a linear, time invariant, differential equation system is defined as ratio of the Laplace transform of the output to the Laplace transform of the input under the assumption that all the initial conditions are zero. Fig.2.3 Free Body Diagram Of M = mass of the cart m = mass of ball point Fw = Force of wind u = externally applied force ө = tilt angle referenced to vertical L = length of pendulum P = vertical component of reaction at pivoted N = horizontal component of reaction at pivoted joint Now, adding all the forces on the cart in horizontal direction, Mẍ+ N = u + Fw 2.1 Adding all the forces on the pendulum in horizontal force . mẍ +mlӪ CosӨ - ml SinӨ = N Substituting equation (2.2) in equation (2.2) ( M+m)ẍ + mlӪ CosӨ - ml . 2 SinӨ = Fw + u 2.2 2.3 The equation 2.3 is called as force balance equation. Now, all the forces along the vertical direction of the pendulum, P SinӨ + N CosӨ – mg SinӨ = mlӪ + mẍ CosӨ initial condition. L(output ) L(input ) , at zero The Laplace transform of equation (2.7) is given by (l+ml2)Ф(S)S2 – mglФ(S) = -mlX(S)S2 2.9 The Laplace transform of equation of (4.8) is given by (M+m)X(S)S2 – mlФ(S)S2 = U(S) 2.10 Solving equation (2.9) for X(S), I X (S ) ml 2 ml g 2 S S 2.11 Substituting equation (2.11) in (2.10), 2.4 Considering sum of the moments about the center of gravity of the pendulum, -Pl SinӨ – Nl CosӨ = lӪ TF G(s) 2.12 From the above equation 2.5 Now from equation (2.4) and (2.5), International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Pankaj Warak 49 (Fx CosӨ)l – (FySinӨ)l = (mgSinӨ)l + (Fw CosӨ)l 2.17 And the equation (4.17) torque balance equation. 2.13 The equation (4.17) can be modified as , Where, q M m I ml 2 ml 2 In equation (4.13), it is clear that two pole and zero is at origin. This leads to cancellation of two pole and zero. So resulting equation will be, ml (S ) q U (S ) S 2 (M m)mgl q 2.14 Here in this case the angle from the vertical position Ф(S) is taken as the output and applied force to the cart U(S) is taken as the input function. mẍ CosӨ + mlӪ= mg SinӨ + Fw CosӨ 2.18 Solve the torque balance equation (4.18) for mlӪ and put this into force balance equation (4.3), giving mlӪ= mg SinӨ + Fw CosӨ - mẍ CosӨ 2.19 and equation (4.3) becomes, . [M+m-mCos2Ө]ẍ = u + ml SinӨ 2 – mg SinӨCosӨ + Fw Sin2Ө 2.20 Now, solve the torque balance equation for ẍ and put this into the force balance equation, giving, .. .. mgSin FwCos ml x mCos 2.21 Again from equation (2.11), And force balance equation become, mlS 2 (S ) X (S ) 2 2 ( I ml )S mgl 2.22 Multiplying both the sides of equation (2.22) CosӨ gives, 2.15 Now putting the value of Ф(S) in equation (4.12), 2.16 Hence the distance of the cart from the origin is treated as the output function whereas the applied force on the cart is still the input function. A 2.3 State Space Representation Now, with this basic knowledge choosing the state variables of the above considered pendulum, x1= x ; x2= ẋ=ẋ2; x3=Ф; x4= Ǿ =ẋ3; Now, the torque in the clockwise direction caused by the horizontal wind disturbance is Fw CosӨ l, and this term is added to the torque balance to give, Equation (2.22) becomes 2.23 Now the state equation can be written as, d d x dt dt 2.24 Where, x 1 x 2 x 3 x 4 d dt x . 2 f 1 x x . 4 f x 2 M uCosx ( M m ) gSinx ml ( Sinx Cosx ) x 2 FwCosx 1 1 1 1 2 1 m f 1 2 mlCos x ( M m )l 1 2.25 International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Pankaj Warak A upright 50 0 (M m) g Ml 0 mg Ml 1 0 0 0 0 0 0 0 0 1 Ml Bupright 0 1 M 0 0 1 0 2.26 If both the pendulum angle and the cart position x are of interest, we have y=Cx 1 Cx x 0 y 0 0 0 1 . 0 0 x . x or It has two zero eigenvalues and two real eigenvalues with apposite signs. Therefore this equilibrium in original nonlinear system is unstable. From the Lyapunov first theorem, the stability of the pendulums pendent position can not be concluded from the Jacobian linearization because of presence of two zero eigenvalues. However for this system, the stability can be directly inferred based on physical intuition and the “δ-ε” type of definition of stability. The pendulums pendent position is stable in the sense of Lyapunov, because for any given ε-ball around the position, we can find some perturbation δ which is small enough such that cart and the pendulum oscillate within the given ε-ball. 2.27 Equation (2.24) and (2.27) give a complete state space representation of the nonlinear inverted pendulum with disturbance input. When the Jacobian matrices are evaluated at the reference point x0=0 and u0=0, a linearized model can also be developed as, 0 (M m)g d x Ml 0 dt mg M 1 0 0 0 0 0 0 0 0 0 0 1 1 0 Ml x u ml Fw 1 0 0 1 0 0 M 2.28 This is open loop linearized model for the inverted pendulum with a cart force δu(t), and a horizontal wind disturbance δFw(t). The two inputs have been separated for convenience, thus the LTI system can be written as d x Ax b u b Fw 1 2 dt 4.29 3. CONCLUSION The Jacobian linearized around the equilibrium can be obtained by directly from the state space equations which yields, REFERENCES [1] K. Ogata, Modern Control Engineering, 4th ed, Pearson Education(Singapore) Pvt. Ltd., New Delhi, 2005, chapter 12. [2] K. Ogata, System Dynamics, 4th ed, Pearson Education (Singapore) Pvt.Ltd., New Delhi, 2004, [3] J. R. White, System Dynamics: Introduction to the Design and Simulation of Controlled Systems, the online literature available at: http://www.profjrwhite.com/system_dynamics/sdyn/s7/s7invpc3 /s7invp c3.html, and http://www.profjrwhite.com/system_dynamics/sdyn/s7/s7invp1/s7in vp1.html. [4] Ajit K. Mandal, Introduction to Control Engineering, New Age International Pub., New Delhi, 2000, Chapter 13. [5] F. L. Lewis, Optimal Control, John Wiley & Sons Inc., New York, 1986. [6] M. N. Bandyopadhyay, Control Engineering: Theory and Practice, Prentice Hall of India Pvt. Ltd., New Delhi, 2004, Chapter 13. [7] Roland S. Burns, Advanced Control Engineering, Elsevier – Butterworth Heinemann, 2001, Chapters 9 & 10. [8] Astrom K. J., and McAvoy Thomas J., “Intelligent control”, J. Proc. Cont. 1992, Vol. 2, No 3, pp 115-127. [9] T. I. Liu, E. J. Ko, and J. Lee, “Intelligent Control of Dynamic Systems”, Journal of the Franklin Institute, Vol. 330, No. 3, pp. 491-503, 1993. [10]Yasar Becerikli, Ahmet Ferit Konar, and Tarıq Samad, “Intelligent optimal control with dynamic neural networks”, Elsevier Journal of Neural Networks, Vol. 16, 2003, pp 251– 259. [11]D. Murali, Dr. M. Rajaram , “Simulation and Implementation of DVR for Voltage Sag Compensation , International Journal of Computer Applications (0975 – 8887), Volume 23– No.5, June 2011 (9) x Ax Bu where 3.1 International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr.K.Saravanan and Dr. H. Habeebullah Sait 51 Multi Input Converter for Distributed Renewable Energy Sources Mr.K.Saravanan and Dr. H. Habeebullah Sait ABSTRACT: In renewable energy sources, such as wind, solar energy, the generated voltages often vary because of environmental changes. A hybrid distribution system fed by photovoltaic (PV) and fuel cell (FC) is proposed. It works to feed the load without any interuption.PV is used as the primary source of power operating near maximum power point (MPP), with the FC section, acting as a current source, feeding only the deflict power. The multi input converter eliminates the use of a separate conventional DC/DC boost converter stage required for PV power processing, resulting in reduction of the number of devices, components and sensors. The generated power is fed to the load and battery. In case of power demand battery is used to compensate the load. The other advantages of this system include low cost, compact structure and high reliability. The analytical, simulation and results of this research are presented. Key Word: Hybrid Power System ( HPS),Solar cell (PV),Maximum power point (MPP),Multi input converter (MIC),Fuel cell (FC),lead acid battery and pulse width modulation(PWM). 1. INTRODUCTION: With increasing concern of global warming and the depletion of fossil fuel reserves, many are looking at sustainable energy solutions to preserve the earth for the future generations. Other than hydro power, wind and photovoltaic energy holds the most potential to meet our energy demands. Wind energy alone is capable of supplying large amounts of power but its presence is highly unpredictable as it can be here one moment and gone in another. Similarly, solar energy is present throughout the day but the solar irradiation levels vary due to sun intensity and unpredictable shadows cast by clouds, birds, trees, etc. The common inherent drawback of wind and photovoltaic systems are their intermittent natures that make them unreliable. So, the number of applications which need more than one power source is increasing. Fuel cell is used to overcome this. Distributed generating systems or micro-grid systems normally use more than one power source or more than one kind of energy source. A parallel connection of converters has been used to integrate more than one energy source in a power system. Mr.K.Saravanan is a PG Scholar, Power System Engineering and Dr. H. Habeebullah Sait,Ph.D, is working as Assistant Professor/EEE, Anna University :: Chennai, Regional Office Tiruchirappali (BIT Campus). Email ID:saravanan23eee@gmail.com, habisait@gmail.com 2. NEED FOR MULTIPLE CONVERTER SYSTEM: In most power electronic systems, input power, output demand, or both instantaneously change and are not exactly identical with each other at any time instant. Hence, providing a good match between them is a complicated task to deal with if not impossible. Furthermore, due to the wide variation of processed power, overall efficiency of the system is not high. Hence, additional energy sources are required to assist the main source in fulfilling the load demand. Hence multi-input converter play an important role due to power demand. 2.1 MULTI INPUT CONVERTERS (MIC): Placing converters either in parallel or series results in use of more number of components, more losses, and less efficiency. Hence, use of a single multi-input converter is preferred to using several multiple converters. One approach of deriving multi-input converters is using the principle of flux additivity . In this type of systems, energy sources are combined in the magnetic form by adding up their produced magnetic flux together in the magnetic core of the coupled transformer instead of combining them in the electric form. However,a multiple-input converter (MIC) can generally have the following advantages compare to a combination of several individual converters. They are cost reduction, compactness, more expandability and greater manageability. First, this study suggests MIC topology comparison criteria that can be used as a decision guide for choosing a MIC topology depending on the application. The above said converters gives a brief introduction about their topologies, connections and consideration for using multi-input converters. 3.1 SOLAR: 3. RENEWABLE ENERGY: Solar power is the conversion of sunlight into electricity, either directly using photovoltaic (PV), or indirectly using concentrated solar power (CSP .Photovoltaic convert light into electric current using the photoelectric effect. Photovoltaic were initially used to power small and medium-sized applications, from the calculator powered by a single solar cell to off-grid homes powered by a photovoltaic array. Solar cells produce direct current (DC) power, which fluctuates with the intensity of the irradiated light. This usually requires conversion to certain desired voltages or alternating current (AC), which requires the use International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr.K.Saravanan and Dr. H. Habeebullah Sait 52 of inverters. Multiple solar cells are connected inside the modules. Modules are wired together to form arrays, then tied to an inverter, which produces power at the desired voltage, and for AC, frequency/phase. Renewable energy sources are gaining more interest in recent years. Among them, photovoltaic (PV) panels, that offer several advantages such as requirement of little maintenance, no environmental pollution. Recently, PV arrays are used in many applications such as battery chargers, solar powered water pumping systems, grid connected PV systems, solar hybrid vehicles, and satellite power systems. Irs(T)=Irsr(T/Tr)exp[(S/m)((1/Vtr)-(1/Vt) (3) 3.1.1 Photovoltaic Characteristic: Solar cells have a nonlinear I/V characteristic which is dependent on the level of solar irradiation and the cell temperature. A solar cell can be accurately modeled by a current source in parallel with a diode, as illustrated in Fig. RP and RS are the shunt and series resistances representing the losses in the photovoltaic conversion process and connections to the cell respectively. Figure. 2. Characteristics of PV The output power of a PV cell is indeed a non linear function of the operating voltage and this function has a maximum power point (MPP) corresponding to a particular value of voltage. In order to operate at the MPP, an energy power converter must be connected at the output of a PV array, such converter forces the output voltage of the PV array is equal to the optimal value, also taking into account the atmospheric condition. 3.1.2 MAXIMUM POWER POINT TRACKING ON PV: Figure. 1. Single PV Cell I(S,T,V)=Iph(S)-Irs(T) [exp(V+(RS1/mvt) -1)] (1) Using the model of Figure 3. 1, the output current of a solar cell can be described in terms of the solar irradiation, cell temperature and voltage. Where S is the level of solar irradiation in W/m2, T is the solar cell temperature in Kelvin, V is the voltage across the cell in Volts and m is the dimensionless P/N junction ideality factor of the diode in the model. VT (T) is the thermal voltage for a given temperature in Kelvin, given by VT(T)=kT/q where k is the Boltzmann constant (1.39x10- 23J/K) and q is the electron charge (1.6x10-19C). RS and RP are the series and shunt resistances in Ohms. The photocurrent IPH, generated by the photovoltaic conversion process, can be expressed in terms of the solar irradiation S, a reference level of solar irradiation Sr and the photocurrent in Amps at the reference irradiation level. Ipm(S)=Iphr(S/Sr) (2) The reverse saturation current IRS is a loss in the conversion process due to a reverse current which flows through the diode, dependent on temperature. It can be expressed in terms of the cell temperature T (K), a reference temperature Tr (K), the reverse saturation current at the reference temperature Irsr (A), the band gap energy of the semiconductor used to manufacture the cell ε (1.12eV for silicon), the diode ideality factor, m, and VT and VTR which are the thermal voltages at T and TR respectively in volts. The maximum power point tracking (MPPT) is usually an essential part of a photovoltaic power generation system, because of nonlinear characteristics of photovoltaic array. As such, many MPPT methods have been developed and implemented. When the entire array does not receive uniform solar irradiance (i.e. partial shading condition), the multiple local maxima appear on P-V characteristic curve of PV array. Inspite of conventional popular MPPT methods (i.e. P&O, IncCond, RCC, Two-mode etc.) are effective under uniform solar irradiance, the presence of multiple local maxima reduces the effectiveness of the conventional MPPT methods 3.1.3 INCREMENTAL CONDUCTANCE: The incremental conductance method is based on the fact that the slope of the PV array power curve is zero at the MPP, positive on the left of the MPP, and negative on the right, as given by dP/dV=0, at MPP (4) dP/dV>0,left of MPP (5) dP/dV<0,right of MPP (6) Since dP/dV=d(IV)/dV= I + V(dI/dV) =I+V(ΔI/ΔV) (7) ( can be rewritten as) ΔI/ΔV=−I/V, at MPP (8) ΔI/ΔV>− I/V, left of MPP (9 ΔI/ΔV<−I/V, right of MPP. (10) International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr.K.Saravanan and Dr. H. Habeebullah Sait The MPP can thus be tracked by comparing the instantaneous conductance (I/V ) to the incremental conductance (ΔI/ΔV ). Vref is the reference voltage at which the PV array is forced to operate. At the MPP, Vref equals to VMPP. Once the MPP is reached, the operation of the PV array is maintained at this point unless a change in ΔI is noted, indicating a change in atmospheric conditions and the MPP. The algorithm decrements or increments Vref to track the new MPP. The increment size determines how fast the MPP is tracked. Fast tracking can be achieved with bigger increments but the system might not operate exactly at the MPP and oscillate about it instead; so there is a tradeoff. A method is proposed that brings the operating point of the PV array close to the MPP in a first stage and then uses IncCond to exactly track the MPP in a second stage. By proper control of the power converter, the initial operating point is set to match a load resistance proportional to the ratio of the open-circuit voltage (VOC) to the short-circuit current (ISC) of the PV array. This two-stage alternative also ensures that the real MPP is tracked in case of multiple local maxima. In a linear function is used to divide the I–V plane into two areas, one containing all the possible MPPs under changing atmospheric conditions. The operating point is brought into this area and then IncCond is used to reach the MPP. A less obvious, but effective way of performing the IncCond technique is to use the instantaneous conductance and the incremental conductance to generate an error signal e=I/V+dI/dV (11) A simple proportional integral (PI) control can then be used to drive e to zero. Measurements of the instantaneous PV array voltage and current require two sensors. The most popular MPPT algorithms according to the number of publications are P&O, InCond and Fuzzy Logic. It makes sense because they are the simplest algorithms capable of finding the real MPP. The performance of these three algorithms is analyzed. They were selected because of their simplicity and popularity. In the case of P&O and InCond some modifications are proposed, which overcome the limitations of the original methods in tracking the MPP under irradiation slopes. The FLC is designed according to the references and its dynamic efficiency is tested and compared to the hill-climbing MPPT methods. 3.2 FUEL CELL OPERATION The fuel cell is an electrochemical devise, which converts chemical energy of the fuel to electricity by combining gaseous hydrogen with air in the absence of combustion. The basic principles of operation of the fuel cell is similar to that of the electrolyser in that the fuel cell is constructed with two electrodes with a conducted electrolyte between them. The heart of the cell is the the proton conducting solid Proton Exchange Membrane (PEM). It is surrounded by two layers, a diffusion and a reaction layer. Under constant supply of hydrogen and oxygen the hydrogen diffuses through the anode and the diffusion layer up to the platinum catalyst, the reaction layer. The reason for the diffusion current is the tendency of hydrogen oxygen reaction.Two main electrochemical reactions occur in the fuel cell. One at the anode (anodic reaction) and one at the cathode. At the anode, the reaction releases hydrogen ions and electrons whose transport is crucial to energy production. 53 H22H+ + 2e(12) The hydrogen ion on its way to the cathode passes through the polymer membrane while the only possible way for the electrons is though an outer circuit. The hydrogen ions together with the electrons of the outer electric circuit and the oxygen which has diffused through the porous cathode reacts to water. 2H+ + ½ O2 + 2e- H2O (13) The water resulting from this reaction is extracted from the system by the excess air flow. The reaction is: H + ½ O2 H2O (14) This process occurs in all types of fuel cells. Figure .3. Fuel Cell Figure .4. Voltage- Current Characteristics Figure .5. Power- Current Characteristics Figure .6 .Load Characteristics International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr.K.Saravanan and Dr. H. Habeebullah Sait 4. MULTI INPUT CONVERTER FOR SOLAR CELL AND FUEL CELL The general block diagram of the three-input dc–dc boost converter is represented in Figure 7. As seen from the Figure 7, the converter interfaces two input power sources v1 and v2, and a battery as the storage element. This converter is suitable for hybrid power systems of PV, FC, and wind sources. Therefore, v1 and v2 are shown as two dependent power sources that their output characteristics are determined by the type of input power sources. For example, for a FC source at the first port, v1 is identified as a function of its current iL1. The PV source at the second port, v2 is identified as a function of its current iL2 depends upon light intensity, and ambient temperature. In the converter structure, two inductors L1 and L2 make the input power ports as two current sources, which result in drawing smooth dc currents from the input power sources. Figure 8, represents the equivalent design circuit of the proposed system. 54 The converter structure shows that when switches S3 and S4 are turned ON, their corresponding diodesD3 andD4 are reversely biased by the battery voltage and then blocked. On the other hand, turn-OFF state of these switches makes diodes D3 and D4 able to conduct input currents iL 1 and iL 2. In hybrid power system applications, the input power sources should be exploited in continuous current mode (CCM). For example, in the PV or FC systems, an important goal is to reach an acceptable current ripple in order to set their output power on desired value. Therefore, the current ripple of the input sources should be minimized to make an exact power balance among the input powers and the load. Therefore, in this paper, steady state and dynamic behavior of the converter have been investigated in CCM In general, depending on utilization state of the battery, three power operation modes are defined to the proposed converter. These modes of operation are investigated with the assumptions of utilizing the same saw tooth carrier waveform for all the switches, and d3, d4 <min (d1,d2 ) in battery charge or discharge mode. Although exceeding duty ratios d3 and d4 from d1 or d2 does not cause converter malfunction, it results in setting the battery power on the possible maximum values. In order to simplify the investigations, it is assumed that duty ratio d1 is less than duty ratio d2. Further, with the assumption of ideal switches, the steady-state equations are obtained in each operation mode. 4.1 FIRST POWER OPERATION MODE (SUPPLYING THE LOAD WITH SOURCES V1 AND V2 WITHOUT BATTERY EXISTENCE) Figure .7. General block Diagram The RL is the load resistance, which can represent the equivalent power feeding an inverter. Four power switches S1 , S2 , S3 , and S4 in the converter structure are the main controllable elements that control the power flow of the hybrid power system. The circuit topology enables the switches to be independently controlled through four independent duty ratios d1 , d2 , d3 , and d4, respectively. As like as the conventional boost converters, diodes D1 and D2 conduct in complementary manner with switches S1 and S2. Figure .8. Circuit Topology Of The System In this operation mode, two input power sources v1 and v2 are responsible for supplying the load, and battery charging/ discharging is not done. This operation mode is considered as the basic operation mode of the converter. As clearly seen from the converter structure, there are two options to conduct input power sources currents iL 1 and iL 2 without passing through the battery; path 1: S4–D3 , path 2: S3–D4. Figure.9. Steady-State Waveform Of The Converter In (a) First Operation Mode, (b) Second Operation Mode And (c) Third Operation Mode International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr.K.Saravanan and Dr. H. Habeebullah Sait Switching state 1 (0 < t < d1 T): At t = 0, switches S1 and S2 are turned ON and inductors L1 and L2 are charged with voltages across v1 and v2. Switching state 2 (d1 T < t < d2 T): At t = d1T, switch S1 is turned OFF, while switch S2 is still ON (according to the assumption d1 < d2). Therefore, inductor L1 is discharged with voltage across v1 − vo into the output load and the capacitor through diode D1, while inductor L2 is still charged by voltage across v2. Switching state 3 (d2T < t < T): At t = d2T, switch S2 is also turned OFF and inductor L2 is discharged with voltage across v2 − vo, as like as inductor L1. In this operation mode, the control strategy is based on regulating one of the input sources on its reference power with its corresponding duty ratio, while the other power source is utilized to regulate the output voltage by means of its duty ratio. 4.2 SECOND POWER OPERATION MODE (SUPPLYING THE LOAD WITH SOURCES V1, V2 AND BATTERY CHARGING PERFORMANCE) 55 Therefore, inductors L1 and L2 are charged with voltages across v1 and v2. Switching state 3 (d1T < t < d2T): At t = d1T, switch S1 is turned OFF, so inductor L1 is discharged with voltage across v1− v0 , while inductor L2 is still charged with voltages across v2. Switching state 4 (d2T < t < T): At t = d2T, switch S2 is also turned OFF and inductors L1 and L2 are discharged with voltage across v1 – v0 and v2 – v0. By applying voltage–second and current–second balance theory to the converter, following equations are obtained. In this operation mode, the control strategy is based on regulating both of the input power sources on their reference powers by means of their corresponding duty ratios d1 and d2, while the battery discharge power is utilized to regulate the output voltage by duty ratio d4. Switching state 1 (0 < t < d3 T): At t = 0, switches S1 , S2 , and S3 are turned ON, so inductors L1 and L2 are charged with voltages across v1 and v2 , respectively . Switching state 2 (d3 T < t < d1 T): At t = d3 T, switch S3 is turned OFF while switches S1 and S2 are still ON (according to the assumption). Therefore, inductors L1 and L2 are charged with voltages across v1 − vB and v2 − vB respectively. Switching state 3 (d1 T < t < d2 T): At t = d1 T, switch S1 is turned OFF, so inductor L1 is discharged with voltage across v1− v0, while inductor L2 is still charged with voltage across v2− vB. Switching state 4 (d2 T < t < T): At t = d2 T, switch S2 is also turned OFF and inductor L2 as like as L1 is discharged with voltage across v2 – v0. In this operation mode, if the total generated power of the input sources becomes more than the load power, the battery charging performance will be possible if duty ratio d3 is utilized to regulate the output voltage. With this control strategy, duty ratios d1 and d2 are utilized to regulate powers of the input sources, while duty ratio d3 is utilized to regulate the output voltage through charging the battery by the extra-generated power. 4.3 THIRD POWER OPERATION MODE (SUPPLYING THE LOAD WITH SOURCES V1 AND V2 AND THE BATTERY) Switching state 1 (0 < t < d4T): At t = 0, switches S1 , S2 , and S4 are turned ON, so inductors L1 and L2 are charged with voltages across v1 + vB and v2 + vB . Figure 10 Simulation Diagram Switching state 2 (d4T < t < d1T): At t = d4T, switch S4 is turned OFF, while switches S1 and S2 are still ON. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) 5.SIMULATION Vol. 2, Issue. 1, April-2013. Mr.K.Saravanan and Dr. H. Habeebullah Sait 56 In this stage, the requirement of load power PL is 100W while the maximum available PVpower is 140W and the maximum available FC power is 150W.The sun irradiation level is G = 750W/m2. There is no need to charge the battery. First, second, third and fourth duty ratios are set as d1=0.7,d2=0.75,d3=0 and d4=1. By setting d3 = 0 and d4 = 1, which result the battery power to be set on zero value. The FC current is regulated by d1,which shows iL1 =0.85A. The PVcurrent is regulated by d2, which shows iL2 =0.45A. The results are shown in the Figure 11,12,13.The required load voltage is maintained for its entire operating time. In this stage, the sun irradiation level increase to G =1000W/m2, while the load power remains constant at PL = 100W. In addition, in this stage, the battery charging is assumed to be performed, so the third operation mode is chosen for the converter. In this condition, battery remains in charging due to increase in sun irradiation level. As shown in Figure, the battery has been charged. The FC current is regulated on iL1 = 8.85 to 0.9A with duty ratio d = 0.73, while the maximum power of the PV source is tracked with regulating the PV current at iL2 =0.3A and adjusting the first duty ratio at d1 = 0.79. Moreover, controlling the third and fourth duty ratios at d3 = 0.45 and d4 = 0, respectively, results in providing the charging power of the battery in addition to regulating the output voltage Which are shown in Figure 14,15,16. Figure 11 Gate Pulse For Four Switches G1,G2,G3 And G4 Vs time Figure 14 Gate Pulse For Four Switches G1,G2,G3 And G4 Vs Time 5.1 FIRST SIMULATION STAGE Figure 12 Battery Output Voltage ,Current Value Vs Time For First Operating Mode Figure 13 Compasison Of Voltages Of Solarcell, Fuelcell And Load Vs Time 5.2 SECOND SIMULATION STAGE Figure 15 Battery Charging Voltage,Current, SOC Vs Time For Mode Second Operating Figure 16 Compasison Of Voltages Of Solarcell, Fuelcell And Load Vs Time 5.3 THIRD SIMULATION STAGE International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr.K.Saravanan and Dr. H. Habeebullah Sait 57 This stage occurs in a condition that solar power decreased certain value in which the load requires PL =100W and the PV power is simultaneously decreased due to sun irradiation level of G = 500 W/m2. From the maximum deliverable power of the PV, it is obviously understood that the PV is not able to completely supply the power deficiency thus, the remained power should be supplied by the battery. Therefore, the second operation mode is chosen. The PV is accomplished by regulating its current at iL2 =0.24A and adjusting the first duty ratio at d2 = 0.73, while the maximum power of the FC is delivered at iL2 =1.25 A with adjusting the second duty ratio at d2 = 0.71. The controlling the third and fourth duty ratios at d3 = 1 and d4 = 0.4 results in discharging the battery which are shown in Figure 17, 18. Figure 18 Compasison Of Voltages Of Solar Cell, Fuelcell And Load Table 1 Simulation Results CONCLUSION AND FUTURE WORK Figure 17 Gate Pulse For Four Switches G1,G2,G3 And G4 Vs Time MODE1 750W/m MODE2 1000W/ m2 MODE3 500W/m2 Load current 0.6A 0.6A 0.78A Load voltage 126.5V 126.5V 126.5V Load power 75.9W 75.6W 98.6W --- Chargin g Discharging 45V 50V 45V 0.78A 0.9A 1.35A 35W 45W 49.5W 13.9V 13.9V 13.2V 0.49A 0.49 0.24A 6.811W 6.811W 6.336W 40.86W 40.86W 38.016W PARAMETE R Battery voltage,curre nt and SOC Fuel cell voltage Fuel cell current Fuel cell power Solar voltage output Solar current output Power output from solar cell for 2 Cell in Series Power output from solar cell for 12 cell 2 In this work, literature review for various types of multiple input converter has been studied. Multi input boost converter was designed for fuel cell and solar panel. Since the cost of fuel cell is high and it depends upon hydrogen source at any instant fuel is required. And cost of fuel cell is high. So that is replaced by wind turbine in future. As per the requirement load requires 100w power which is continuously supplied by two sources. Alternatively battery backup is supplied during power deficiency. Results show that a photovoltaic fuel-cell hybrid system can perform well to meet the external load using energy produced by the system. It defines the downside of other types of hybrid power resources. Thus the system has been designed, optimized and control strategy has been considered for DC load only. In order to supply AC load, which are more frequently used, the system requires inverters to convert DC power to AC. However, the choice of the components in any case should rather be determined by economic consideration. Thus, the addition of battery to the system helps the fuel cell to handle the load where it draws the power from the battery until the fuel cell supports the increased of load demand. The battery provides additional power for any period of time. The boost converter is responsible for the energy conversion of the fuel cell and converts the power to a higher voltage application. REFERENCES [1] Chen Y. M, Liu Y. Ch. and Wu F. Y.(2002) ‘Multi-input DC/DC converter based on the multi winding transformer for renewable energy applications’,IEEE Trans. Ind. Electron., vol. 38, no. 4, pp. 1096–1103. [2] Chen Y. M, Liu Y. Ch, Hung S. C. and Cheng C. S.(2007) ‘Multi-input inverter for grid-connected hybrid PV/Wind power system’,IEEE Transactions on Power Electronics, vol. 22, no. 3, pp. 1070–1077. [3] Chuang Y. C. and Ke Y. L.(2008) ‘ High-efficiency and lowstress ZVT-PWM DC-to-DC converter for battery charger’, IEEE Transactions on Power Electronics,vol. 55, no. 8, pp. 3030–3037. [4] Duarte J. L, Hendrix M. and Simoes M. G.(2009) ‘Three-port bidirectional converter for hybrid fuel cell systems’,IEEE Transactions on Power Electronics ,vol. 22, no. 2, pp. 480–487. [5] Farzam Nejabatkhah, Saeed Danyali, Seyed Hossein Hosseini(2012) ‘Modeling and Control of a New Three-Input International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mr.K.Saravanan and Dr. H. Habeebullah Sait [6] [7] [8] [9] [10] 58 DC–DC Boost Converter for Hybrid PV/FC/Battery Power System’ , IEEE Transactions on Power Electronics, vol. 27, no. 5 Gopinath R, Kim S, Hahn J. H, Enjeti P. N, Yeary M. B. and Howze J. W.(2004) ‘Development of a low cost fuel cell inverter system with DSP control’,IEEE Transactions on Power Electronics,vol. 19, no. 5, pp. 1256–1262. Huang X, Wang X, Nergaard T, Lai J. S, Xu X, and Zhu L.(2004) ‘Parasitic ringing and design issues of digitally controlled high power interleaved boost converters’,IEEE Transactions on Power Electronics, vol. 19, no. 5, pp. 1341– 1352. Jia J, Li Q, Wang Y, Cham Y. T. and Han M.(2009) ‘Modeling and dynamic characteristic simulation of a proton exchange membrane fuel cell’, IEEE Transactions on Energy Converservation vol. 24, no. 1, pp. 283–291. Jiang W. and Fahimi B.(2010) ‘Active current sharing and source management in fuel cell- battery hybrid power system’,IEEE Transactions on Power Electronics.vol. 57, no. 2, pp. 752–761. Jin K, Ruan X, Yang M. and Xu M.(2009) ‘A hybrid fuel cell power system’,IEEE Transactions on Power Electronics, vol. 56, no. 4, pp. 1212–1222. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Seelam Swarupa, and K. V. S. Ramachandra Murthy 59 Control Strategy for Unified Power Flow Controller Seelam Swarupa, and K. V. S. Ramachandra Murthy Abstract: In this thesis, a reactive power coordination controller has been implemented to limit excessive voltage excursions during reactive power transfers. The controller implemented coordinates Reactive Power flows. Response of Power System to Step Changes in Reactive Power Flow Reference has been examined in this Thesis. This Thesis reviews the methodology given in [1] and extends beyond its scope. The response of two bus system consisting of UPFC is studied with and without coordination controller. A two bus system is considered with 13.8 kV generator of 1000 MVA and step up transformer of 13.8 kV/230 kV, 1000 MVA. The step change in the reference reactive power of 50 MVAr to 225 MVAr has been introduced in the system and Peak over shoot in the reactive power oscillations have been observed with and without coordination controller of UPFC. Similar analysis is carried out on with 13.8kV/345 kV Transformer. It is observed that there is an improvement of 20% reduction in the peak overshoot of the reactive power oscillations. The modeling and analysis have been carried out in the MATLAB/SIMULINK environment. Keywords : UPFC, Control Strategy, reactive power control. I. INTRODUCTION Power system in general are interconnected for economic, security and reliability reasons. Exchange of contracted amounts of real power has been in vogue for a long time for economic and security reasons. To control the real flow on tie lines connecting controls areas, power flow control equipment such as phase shifters are installed. They direct real power between control areas. The interchange of real power is usually done on hourly basis. On the other hand, reactive power flow control on tie lines is also very important. Reactive power flow control on transmission lines connecting different areas is necessary to regulate remote end voltages. Though local control actions within an area are the most effective during contingencies, occasions may arise when adjacent control areas may be called upon to provide reactive power to avoid low voltages and improve system security. Fixed series capacitors help in increasing stability limits in an interconnected power system. With transmission open access, each transmission system owning utility will increase their transmission capacity to attract more utilities to use its transmission facilities. Many existing power systems have already made the use of series compensation to increase their transmission capacity . By series compensation, the amount of reactive power consumed by the line is reduced hereby increasing the amount of reactive power transferred to the receiving end and improving the voltage profile at the receiving end. This is one of the secondary benefits of using series compensation. Under system disturbance conditions like three phase faults or line tripping, controllable series compensation helps in damping power system oscillations. Excessive UPFC bus voltage excursions during reactive power transfers requiring reactive power coordination have been addressed in by Jayaram and Salama[1]. L. Gyugyi, proposed [2] the unified power flow controller (UPFC) which is able to control the reactive power flows at the sending- and the receiving-end of the transmission line. K. K Sen proposed [3] the theory and the modeling technique of a flexible alternating current transmission systems (FACTS) device, namely, unified power flow controller (UPFC) using an Electromagnetic Transients Program (EMTP) simulation package. A collection of measured performance characteristics are presented [4] to illustrate the unique capabilities of the UPFC by Renz. P. K. Dash, proposed [5] the design of radial basis function neural network controllers (RBFNN) for UPFC to improve the transient stability performance of a power system. P.K Dash proposed [6] a simple hybrid fuzzy logic proportional plus conventional integral controller for FACTS devices in a multi-machine power system. Z. Huang, proposed [7] a new power frequency model for unified power flow controller (UPFC) is suggested with its DC link capacitor dynamics included. Y. Morioka, proposed [8] a unified power flow controller (UPFC) miniature model developed for performing system feasibility studies. Wang et. al. [9] proposed three types of FACTS-based stabilizers for a unified model of a multi-machine power system. Hingorani presented [10] the control mechanism of real and reactive power flow in transmission lines using FACTS controllers. II. SHUNT CONVERTER CONTROL SYSTEM Seelam Swarupa,is a PG Student, G V P. College of Engineering, Visakhapatnam. And K. V. S. Ramachandra Murthy, Associate Professor, G V P. College of Engineering, Visakhapatnam. Emails: murthykvs2000@yahoo.co.in Fig 1 shows the de-coupled control system for the shunt converter. The D-axis control system controls the dc link capacitor voltage and the Q-axis control system controls the UPFC bus voltage /shunt reactive power. The details of the de-coupled control system design can be found .The de- International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Seelam Swarupa, and K. V. S. Ramachandra Murthy 60 coupled control system has been designed based on linear control system techniques and it consists of an outer loop control system that sets the reference for the inner control system loop. The inner control system loop tracks the reference. III. SERIES CONVERTER CONTROL SYSTEM Fig. 2 shows the overall series converter control system. The transmission line real power flow is controlled by injecting a component of the series voltage in quadrature with the UPFC bus voltage . The transmission line reactive power is controlled by modulating the transmission line side bus voltage reference . The transmission line side bus voltage is controlled by injecting a component of the series voltage in-phase with the UPFC bus voltage. Fig. 3: UPFC Connected to a Transmission Line. Fig. 1 De-Coupled D-Q axis Shunt Converter Control System. The in-phase component (VseD) of the series injected voltage which has the same phase as that of the UPFC bus voltage, has considerable effect on the transmission line reactive power (Qline) and the shunt converter reactive power (Qsh). Any increase/decrease in the transmission line reactive power (Qline) due to in-phase component (VseD) of the series injected voltage causes an equal increase/decrease in the shunt converter reactive power (Qsh). In short, increase/decrease in transmission line reactive power is supplied by the shunt converter. Increase/decrease in the transmission line reactive power also has considerable effect on the UPFC bus voltage. The mechanism by which the request for transmission line reactive power flow is supplied by the shunt converter is as follows. Increase in transmission line reactive power reference causes a decrease in UPFC bus voltage. Decrease in UPFC bus voltage is sensed by the shunt converter UPFC bus voltage controller which causes the shunt converter to increase its reactive power output to boost the voltage to its reference value. Fig. 2 Series Converter Real and Reactive Power Flow Control System. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Seelam Swarupa, and K. V. S. Ramachandra Murthy 61 Fig. 5 Power system with UPFC. IV. SIMULATION RESULTS Fig. 4. Shunt Converter Q-Axis Controller with Reactive Power Coordination Controller. The increase in shunt converter reactive power output is exactly equal to the increase requested by the transmission line reactive power flow controller (neglecting the series transformer T2 reactive power loss). Similarly, for a decrease in transmission line reactive power, the UPFC bus voltage increases momentarily. The increase in UPFC bus voltage causes the shunt converter to consume reactive power and bring the UPFC bus voltage back to its reference value. The decrease in the shunt converter reactive power is exactly equal to the decrease in transmission line reactive power flow (neglecting the reactive power absorbed by the series transformer T2). In this process, the UPFC bus voltage experiences excessive voltage excursions. To reduce the UPFC bus voltage excursions, a reactive power flow coordination controller has been designed. The input to the reactive power coordination controller is the transmission line reactive power reference. Fig.4S shows the shunt converter Q-axis control system with the reactive power coordination controller. The gain of the washout circuit has been chosen to be 1.0. This is because, any increase/decrease in the transmission line reactive power flow due to change in its reference is supplied by the shunt converter. The washout time constant is designed based on the response of the power system to step changes in transmission line reactive power flow without the reactive power coordination controller. Discrete, Ts = 5e-006 s. powergui A Aa Aa aA B Bb Bb bB C Cc Cc L2_50km Power Plant #1 B1 Pnom=1000 MW B2 A B C cC L2_50km1 200 MW B3 Vabc_B3 Vabc From3 Iabc_B3 From4 Iabc PQ 3-phase Instantaneous Active & Reactive Power Scope4 G5 Fig. 6 Simulink Model of UPFC Connected Transmission Line A. Response to Step Changes in Reactive Power Reference A two machine power system with UPFC is shown in fig. 6 has been considered to study the response of the power system to step input changes in reactive power reference. The analysis is carried out on two different systems levels. One system is at 230 kV level and the other is at 345 kV. Table 1 shows the reduction in peak overshoot of the reactive power oscillations on 230 kV system when it is subjected to a step change. Magnitude of step change is presented in column 3 and Peak over shoot without controller is presented in column 4 and over shoot with controller is presented in column 5. System 1: Generator ratings : 13.8 kV,1000MVA Transformer ratings : 13.8 kV/230kV,1000MVA International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Seelam Swarupa, and K. V. S. Ramachandra Murthy Qinitial Q (MVAr) 62 (MVAr) Step Change MVAr Over shoot (with out coordination controller) Over shoot (with controller) 125 75 50 180 147 125 50 75 176 153 125 25 100 173 152 125 -25 150 166 151 125 -50 175 163 150 125 -100 225 164 148 new Table 2 shows the reduction in peak overshoot of the reactive power oscillations on 345 kV system when it is subjected to a step change. Magnitude of step change is presented in column 3 and Peak over shoot without controller is presented in column 4 and over shoot with controller is presented in column 5. System 2: Generator: 13.8 kV,1000MVA Transformer: 13.8 kV/345kV,1000MVA Qinitial Q (MVAr) Step Change MVAr Over shoot (with out coordination controller) Over shoot (with controller) (MVAr) 125 75 50 180 150 125 50 75 176 145 new Fig 7 to 10 show the reduction in reactive power oscillations on 230 kV system. And Fig. 11 and 12show the reduction in reactive power oscillations on 345 kV system. Load considered in this work is 200 MW synchronous motor. i) Fig 8 Variation of Qline with step change of 50 MVAr with controller Fig. 9 shows the variation of reactive power from 125 MVAR to 25MVAR at 0.3 seconds and back to 125MVAR at 0.6 seconds. The peak over shoot without controller is observed to be 173 MVAR and with the coordination controller, it is observed to be 152MVAR. Fig. 10 shows the variation of reactive power with coordination controller. Fig. 9 Variation of Qline with step change of 100 MVAr without controller Results on 230 kV System : Fig.7 shows the variation of reactive power from 125 MVAR to 75MVAR at 0.3 seconds and back to 125MVAR at 0.6 seconds. The peak over shoot without controller is observed to be 180 MVAR and with the coordination controller, it is observed to be 147 MVAR. Fig .8 shows the variation of reactive power with coordination controller. Fig 10 Variation of Qline with step change of 100 MVAr with controller ii) Results on 345 kV System Fig. 7 Variation of Qline with step change of 50 MVAr without controller Fig. 11 shows the variation of reactive power from 125 MVAR to 75MVAR at 0.3 seconds and back to 125MVAR at 0.6 seconds. The peak over shoot without controller is observed to be 180 MVAR and with the coordination controller, it is observed to be 150MVAR. Fig. 12 shows the variation of reactive power with coordination controller. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Seelam Swarupa, and K. V. S. Ramachandra Murthy 63 REFERENCES [1] S. Kannan, Sesha Jayaram and M. M. A. Salama, “Real and Reactive Power Coordination for a Unified Power Flow Controller”, IEEE Transactions on Power Systems, Vol. 19, No.3, August, 2004, Pg. 1454 -1461. [2] L. Gyugyi, C. D. Schauder, S. L. Williams, T. R. Reitman, D. R. Torgerson, and A. Edris, “The unified power flow controller: A New Approach to Power Transmission Control,” IEEE Trans. Power Delivery, vol. 10, pp. 1085–1097, Apr. 1995. Fig. 11 Variation of Qline with Step Change of 50 MVAr without Controller [3] C. D. Schauder, L. Gyugyi, M. R. Lund, D. M. Hamai, T. R. Rietman, D. R. Torgerson, and A. Edris, “Operation of the unified power flow controller (UPFC) under practical constraints,” IEEE Trans. Power Delivery, vol. 13, pp. 630– 636, Apr. 1998. [4] K. K. Sen and E. J. Stacey, “UPFC-UnifiedPower flow controller: Theory, modeling, and applications,” IEEE Trans. Power Delivery, vol. 13, pp. 1453–1460, Oct. 1999. [5] B. A. Renz, A. S. Mehraben, C. Schauder, E. Stacey, L. Kovalsky, L. Gyugyi, and A. Edris, “AEP unified power flow controller performance,” IEEE Trans. Power Delivery, vol. 14, pp. 1374–1381, Oct. 1999. [6] P. K. Dash, S. Mishra, and G. Panda, “A radial basis function neural netwrok controller for UPFC,” IEEE Trans. Power Syst., vol. 15, pp. 1293–1299, Nov. 2000. Fig. 12 Variation of Qline with Step Change of 50 MVAr with Controller IV. CONCLUSION This thesis has implemented a new real and reactive power coordination controller for a UPFC. The basic control strategy is such that the shunt converter of the UPFC controls the UPFC bus voltage/shunt reactive power and the dc link capacitor voltage. The series converter controls the transmission line real and reactive power flow. The contributions of this work can be summarized as follows. Response of Power System to Step Changes in Reactive Power Flow Reference has been examined in this Thesis. A two bus system is considered with 13.8 kV generator of 1000 MVA and step up transformer of 13.8 kV/345 kV, 1000 MVA. The step change in the reference reactive power of 50 MVAr to 225 MVAr has been introduced in the system and Peak over shoot in the reactive power oscillations have been observed without the controller and with the controller. It is observed that there is a 20% reduction in the peak overshoot by implementing the real and reactive power coordination controller. Also there is a improvement in raise time of 30 msec. [7] P. K. Dash, S. Mishra, and G. Panda “Damping multimodal power system oscillation using a hybrid fuzzy controller for series connected FACTS devices,” IEEE Trans. Power Syst, vol. 15, pp. 1360–1366, Nov. 2000. [8] Z. Huang, Y. Ni, F. F. Wu, S. Chen, and B. Zhang, “Appication of unified power flow controller in interconnected power systems-modeling, interface, control strategy and case study,” IEEE Trans. Power Syst, vol. 15, pp. 817–824, May 2000. [9] Y. Morioka, Y. Mishima, and Y. Nakachi, “Implementation of unified power flow controller and verification of transmission capability improvement,” IEEE Trans. Power System, vol. 14, pp. 575–581, May 1999. [10] Narain G. Hingorani, Laszlo Gyugyi “Understanding FACTS: concepts and technology of flexible AC transmission systems”, IEEE Press, 2000. Swaroopa Seelam graduated from GVP College of Engineering and is pursuing post graduation from GVP Collegeof Engineering, Visakhapatnam. Dr. K V S Ramachandra Murthy did his UG and PG from NIT, Jamshedpur. He obtained doctorate from JNTU, Kakinada, India. He is working as Associate Professor in the Department of EEE, GVP College of Engineering, Visakhapatnam, India. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.K. Dinesh kumar, K.B. Naresh kumar, S. ManiKandan and S. Venkatanarayanan 64 Design of Bridgeless SEPIC Converter for Speed Control of PMDC Motor K.K. Dinesh kumar, K.B. Naresh kumar, S. ManiKandan and S. Venkatanarayanan Abstract: The bridgeless SEPIC converter design is used for the speed control of permanent magnet DC motor. This paper focuses the design of Bridgeless SEPIC topology having reduced switching and conduction losses with improved power factor, It is designed to work in Discontinuous Conduction Mode (DCM) to achieve the speed control of DC motor by varying the input supply to the armature. This converter is investigated theoretically and the performance comparisons of this proposed converter is verified with MATLAB simulation. The design example of a low voltage and PMDC Motor is developed. Keywords: Bridgeless, Conduction, converter, SEPIC, speed, switching. In this proposed work the bridgeless SEPIC converter is developed for the speed control of PMDC motor. The Bridgeless SEPIC converter is designed for the energy elements of Inductors and capacitors. The values obtained are used in simulation. The conduction and switching losses are verified. The power factor improvement is verified with MATLAB simulink. The speed of the motor is controlled 900RPM to 1500RPM. Since the switching time is reduced and the losses are minimized. This proposed converter carries full current in the coupling capacitor and hence this capacitor values to be selected to carry the full load current of the PMDC. I. INTRODUCTION The SEPIC stands for single ended primary inductor converter. It is a one type of DC-DC converter which is used in many other applications like mobile phone battery charger, electronic ballast, telecommunications and DC power supplies etc, In this converter the output voltage is maybe buck or boost or same voltage as that of the supply voltage. The converter have been developed a new ZVS PWM SEPIC topology. it has low switching and conduction losses due to zero voltage switching and synchronous rectifier operation[1]. The SEPIC have been designed to increases the power factor correction in ac system, in order to achieve the high power factor [2]. The SEPIC input current and input voltage have been used to a certain extent, reducing the amount of lower order harmonics and resulting high power factor[3]. A new bridgeless PFC SEPIC converter have been designed for high power factor under universal input voltage condition[3]. A novel PFC topology have been developed by the valley-fill circuit into the DCM SEPIC derived converter, by implementing this topology. The solved the bus capacitor voltage dependent on the output load issue and avoided high voltage stress in light load[4]. Two new single–phase bridgeless rectifiers with low input current distortion and low conduction losses have obtained by implemented SEPIC compressed with CUK PFC converter. The size of inductor was reduced and obtained efficiency of SEPIC converter have been improved[5].Single switch bridgeless SEPIC converter have been developed and gave low switching loss compared to bridgeless double switch converter also efficiency[6]. II. SEPIC CONVERTER . The SEPIC stands for single ended primary inductor converter, which is used to buck or boost or same voltage as that of supply voltage. The SEPIC output is controlled by varying duty cycle to the power switches like MOSFET, IGBT, GTO etc. it is also similar to traditional buck-boost converter, it has one additional advantage the output is non-inverted(the output same polarity as the input). Using series capacitor the couple of energy from input to output and being capable of true shutdown. when the switch is turned off the capacitor voltage false to 0V. SEPIC converter is operated in two mode, one continuous conduction mode (CCM) and discontinuous conduction mode(DCM). The DCM mode operation means the inductor current falls to zero. Fig.1. Schematic diagram of conventional SEPIC converter. K.K. Dinesh kumar, K.B. Naresh kumar, S. ManiKandan, S. Venkatanarayanan AP (S G), Email id: kkdinesheee05@gmail.com, nrshkmr325@gmail.com, manikandan0721@gmail.com, venjeyeee@gmail.com International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.K. Dinesh kumar, K.B. Naresh kumar, S. ManiKandan and S. Venkatanarayanan 65 Fig.2: Current flows during switch is turn on condition Fig.3: Current flows during switch is turn off condition. A SEPIC said be in continuous-conduction mode means if the current through the inductor never falls to zero. During SEPIC steady state operation While switch S1 is turned on current IL1 increases and the current IL2 current increase in negative direction. The energy to increase the current IL1 comes from the input supply since S1 is a short while closed and the instantaneous voltage VC1 approximately VIN , the voltage VL2 is approximately –VIN. Therefore, the capacitor C1 supplies the energy to increase the magnitude of the current in IL2 and thus increase the energy stored in L2. When the switch S1 is turned off , the current IC1 becomes the same as the current IL1, since inductors do not allow instantaneous change in current. The current IL2 will continue in the negative direction, in fact it never reverses direction. It can be seen from the fig.3 that a negative IL2 will add to the current IL1 to increase the current delivered to the load. Fig.4.Permanent magnet DC motor Fig.5.Construction of permanent magnet in PMDC. The characteristics of PMDC motor is given below. III. PERMANENT MAGNET DC MOTOR Permanent magnet DC motor is similar to an ordinary dc shunt motor except that its field is provided by permanent magnet instead of salient pole wound structure. There are three types of permanent magnet used for such motors, (i.e.) Alnico, ferrite and rare-earth magnets. These materials has high residual flux density and high coercivity, The armature consist of slots to the accommodated armature winding. In this type of motor field speed control is not possible but armature speed control is only possible in order to vary the input supply to the armature winding the motor speed is varying as much we desired value. In this type of motor below speed control only possible because of field having permanent magnet, suppose we increase the voltage above rated voltage means the motor insulation will become into failure and motor windings will be short circuited. Fig.6.Charteristics of PMDC motor. IV. BRIDGELESS SEPIC CONVERTER A conventional AC-DC SEPIC converter had a bridge circuit in input because this circuit converts ac-dc. The converting process was done by means of diodes. During positive half cycle couple of the diode was conducting and negative half cycle another couple of the diode was conducting due to this conduction loss also increases and also presence of power switches the switching loss is increase. It is an unavoidable one but conduction loss is avoidable one. A International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.K. Dinesh kumar, K.B. Naresh kumar, S. ManiKandan and S. Venkatanarayanan bridgeless SEPIC converter gives a low conduction loss and switching loss during switch turn on and turn off condition. The bridgeless circuit also used to improve power factor in SEPIC converter during conversion of ac-dc. Here three identical inductor is used to reduce the ripple current and coupling capacitor is used to store the input voltage and boost voltage both capacitors are identical so that the voltage ripple also reduced. During positive half cycle all components will conduct except DS1, S2, C2, L3 and D02. During negative half cycle all components will conduct except DS2, S1, C1, L2 and DO1. Thus only eight components will be conducted at each half cycle compared to eleven in bridgeless SEPIC converter. In this circuit PID controller is used to vary the speed of the PMDC motor by varying pulse width to the SEPIC converter, we obtained the various voltage to the motor. Fig.7.Bridgeless SEPIC converter circuit diagram. 66 Fig.9.During negative half cycle, switch Q2 turn on and Q1 turn off condition. V. CIRCUIT OPERATION The operation of the converter will be explained assuming that the three inductors are working in DCM. Operating the SEPIC in DCM offers advantages over continuous-current mode (CCM) operation. Such as a near-unity power factor can be achieved naturally and without sensing the input line current. Also in DCM, both Q1 and Q2 are turned on at zero current. While the diode DS1 are turned off at zero current. Thus, the loss due to switching losses and the reverse recovery of the rectifier are considerably reduced. Fig.10(a).During positive half cycle, switch Q1 turn on and Q2 turn off condition. (a) MODE 1: During the positive half-line cycle, the first dc-dc SEPIC circuit, L1-Q1-C1-L3-Do, is active through diode Dp, which connects the input ac source to the output ground. when the switch Q1 is turned on, diode Dp is forward biased by the sum inductor currents iL1 and iL2. As a result, diode DN is reversed biased by the input voltage. The output diode is reversed biased by the reverse voltage (Vac + Vo). In this stage, the three-inductor currents increase linearly at a rate proportional to the input voltage Vac. Fig.8.During positive half cycle, switch Q1 turn on and Q2 turn off condition. (b) MODE 2: During the negative half-line cycle, the second dc-dc SEPIC circuit, L2-Q2-C2-L3-Do, is active through diode DN, which connects the input ac source to the output ground. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.K. Dinesh kumar, K.B. Naresh kumar, S. ManiKandan and S. Venkatanarayanan 67 1) Input voltage Vac =12 Vrms at 50Hz 2) Output voltage = Vo=15Vdc 3) Output power = 30Watts 4) Switching frequency = 330KHz 5)Maximum input ripple current∆ = 20% fundamental current 6) Output voltage ripple ∆ = ±1% Fig.10(b).During positive half cycle, switch Q1 turn on and Q2 turn off condition At the instant, switch Q1 is turned-off, diode Do is turned-on simultaneously providing a path for the three inductor currents. Diode Dp remains conducting to provide a path for iL1 and iL2. In this stage, the three inductor currents decrease linearly at a rate proportional to the output voltage, Vo. (c)MODE 3: In this stage, both Q1 and Do are in their off-state. Diode Dp provides a path for iL3. The three inductors behave as current sources, which keep the currents constant. Hence, the voltage across the three inductors is zero. Capacitor C1 is charging up by iL1, while C2 is discharged by iL2. Fig.11. shows the main theoretical waveforms during one switching period Ts. It should be mentioned here that if the two active switches Q1 and Q2 are implemented as standard MOSFET, then the body diode of Q2 will conduct during the first stage and the circuit will not function properly. In other words, there are reverse voltages applied to the active switches, so that the switches must have reverse blocking capability. Therefore, unidirectional current conducting device must be implemented for Q1 and Q2. In this case, turning ON or OFF Q2 during the first stage will not change the circuit operation mode. Accordingly, both of the switches, Q1 and Q2, can be driven by the same control signal, which helps in reducing the cost and complexity of the driving circuit. The voltage conversion ratio M is 15 = = 0.88(4) 12 ∗ √2 The value of is 1 < = = 0.147(5) 2( + 1) For values of > , the converter operates in CCM; otherwise, the converter operates in DCM. Inductance Le value is = = 2.22µ (6) 2 Inductances L1,L2 and L3 value can be determined as follows, = = , = is given by (2) = 10 ∆ = ,(7) 2 = 100 (8) − The required output capacitance to maintain peak-peak output voltage ripple of 2% of Vo can be calculated as follows, 1 1 1 1 + − (9) 2 2 And Co1, Co2 =1mF ∆ = The coupling capacitor C1 must be chosen such that its voltage Follows the shape of the input ac line voltage wave form with the lowest ripple as possible, C1 should not cause low-frequency oscillations with inductors L1,L2 and L3, based on three constraints , the value of C1=C2=10mF is chosen for this particular design. The inductor ripple current is, ̅ The rate of increase of the three inductor currents are given by = , = 0,1,2,3(1) The peak switch current of ̅ = = 1+ 2 2 = + (10) 1 2 The current Where, 1 1 1 1 = + + (3) 2 − 1 − 1 − (11) simply found by following expression, 1− 1+ 2 (12) can be represented by, And D1 is the switch duty cycle. This intervals ends when Q1 is turned off, initiating the next subinterval. ̅ = cos( )(13) VI. DESIGN PROCEDURE FOR BRIDGELESS SEPIC A simplified design procedure is presented in this section to determine the components values of the proposed converter. Suppose we would like to design the SEPIC converter with the following power stages specification. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.K. Dinesh kumar, K.B. Naresh kumar, S. ManiKandan and S. Venkatanarayanan 68 Fig.13.Capacitors C1 and C2 voltage waveforms. Fig.14.Inductors L1 and L2 voltage waveforms. Fig.11. Theoretical waveforms in DCM of proposed converter VII. SIMULATION A simulation performed at bridgeless SEPIC converter inductors and capacitors values are taken above mentioned value, Supply voltage and switching frequency are also specified value. The bridgeless SEPIC converter simulated waveforms are shown in fig. Fig.15. Input voltage and current waveforms. Fig.12.Inductors L1, L3 and L2 current waveforms. Fig.16. Output voltage and current waveforms. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.K. Dinesh kumar, K.B. Naresh kumar, S. ManiKandan and S. Venkatanarayanan b. Motor specifications Sl.no. 1. 2. 3. 4. 5. Parameter Ra, La Torque constant J Bm Tf Value 0.5Ω, 0.01H 1.8 N.m/A 0.05 Kg.m^2 0.02 N.m.s 0 N.m Torque constant (N.m/A) J-total inertia in Kg.m^2 Bm-viscous friction coefficient in (N.m.s) Tf-coulomb friction torque in (N.m) Where, Ra-armature resistance in Ω La-armature inductance in H 69 Zheng Zhao, Student Member, “A Novel Valley-Fill SEPIC-derived Power Supply”, ieee transactions on power electronics, vol. 27, no. 6, june 2012. [5] Ahmad J. Sabzali, Esam H. Ismail, and Mustafa A. Al-Saffar Member, IEEE, Senior Member, IEEE, Member, IEEE Abbas A. Fardoun Senior Member, IEEE. [6] Hyunsoo Koh, “Modeling and Control of Single Switch Bridgeless SEPIC PFC Converter K.K. DINESH KUMAR was born in India, Madurai in 1992 is pursuing in K.L.N. college of engineering, madurai as final year student in the department of EEE. His area of interest is converter control, Power Electronics, DC-DC converters, Power supplies, Power factor correction etc S. MANIKANDAN was born in India, Madurai in 1992 is pursuing in K.L.N. college of engineering, madurai as final year student in the department of EEE. His area of interest is converter control, SEPIC converter and Power Electronics,DC-DC converters. K.B. NARESH KUMAR was born in India, Madurai in 1992 is pursuing in K.L.N. college of engineering, madurai as final year student in the department of EEE His area of interest is converter control, DC-DC converters, Power supplies, Power factor correction. VIII. CONCLUSION The bridgeless SEPIC converter designed used for the speed control of permanent magnet DC motor. This paper Bridgeless SEPIC topology is used and having reduced switching and conduction losses with improved power factor, It is designed to work in Discontinuous Conduction Mode (DCM) to achieve the speed control of DC motor by varying the input supply to the armature. This converter is developed in MATLAB simulink and Performance are verified. The efficiency of this converter is obtained about 82.2%. The further improvement can be done in DSP controllers. REFERENCES S.VenkatanarayananAP(S.G) was born in India ,Vandary,Madurai in 1969, He Received BE Degree in 1998 at Madurai Kamaraj University Madurai , ME in 2008 at Annauniversity Chennai, Also he is have MBA and MPhil ,Presently pursuing his part time Ph.D at Annauniversity .He is working as Assistant Professor (Sr.Gr) at K.L.N. college of engineering, Pottapalayam, Sivagangai District in the department of EEE. His area of interest is converter control, SEPIC converter and Power Electronics,DC-DC converters, Power supplies, Power factor correction etc and development of prototypes of converters [1] In-Dong Kimy, Jin-Young Kim, Eui-Cheol Nho, and Heung-Geun Kim “Analysis and Design of a Soft-Switched PWM Sepic DC-DC Converter” Journal of Power Electronics, Vol. 10, No. 5, September 2010,pp.461-467. [2] T. Raghu, S. Chandra Sekhar, J. Srinivas RaoJ. “SEPIC Converter based-Drive for Unipolar BLDC Motor” International Journal of Electrical and Computer Engineering (IJECE) Vol.2, No.2, April 2012, pp. 159~165. [3] M. R. Sahid, A. H. M. Yatim, Taufik Taufik I, “A New AC-DC Converter Using Bridgeless SEPIC” 2010 IEEE. [4] Hongbo Ma, Student Member, IEEE, Jih-Sheng Lai, Fellow, IEEE, Quanyuan Feng, Senior Member, IEEE, Wensong Yu, Member, IEEE, Cong Zheng, Student Member, IEEE, and International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. 70 Apoorva Saxena and Subhash Chandra Rural Off Grid Electrification Using Hybrid Mini grid and its Socio Economic Impact : A Case Study of District Pilibhit Apoorva Saxena and Subhash Chandra Abstract— Despite the best efforts of the governments of various countries to promote rural electrification, it is not enough to keep in pace with rapid urban and industrial growth. In remote areas, off grid technologies combined with sustained financial management can lead to environment friendly access to electricity by rural population. This paper explores the socioeconomic impact of rural electrification, various technical approaches for rural electrification with focus on Hybrid minigrid & financial model for sustained low cost operation of hybrid mini-grid involving skilled village population. Index Terms—Rural electrification, Hybrid mini-grid architecture, scope analysis, community based implementation model. M I. INTRODUCTION odern energy services are crucial to human well being and play an important role in the economic and social development of the country. Significant efforts have been made globally to provide electricity to both urban & rural population. In this regard, global electrification rate went from 49 % in 1970 to 80.5 % in 2011 with around 5.2 billion people having access to electricity [1].Despite this, over 1.3 billion people worldwide are still without access to electricity. An estimated 80 % of these people live in rural areas with majority of them having scant chances of accessing electricity in near future. More than 95 % of these people reside either in Sub-Saharan Africa or developing Asia [1]. In developing Asia, it is projected that number of people without access to electricity will come down by 45% from 675 million people in 2009 to 375 million in 2030[1] through government sponsored schemes of grid extension.. But still rural population will make majority of people which will not be having access to electricity. One more point to consider is regarding Quality of the service. Grid extension increases the demand but if it is not accompanied with corresponding increase in generation( which is most likely case in majority of 1.Apoorva Saxena is working as Assistant Professor in Department of Electrical Engineering with GLA University, Mathura, India (phone: 9997624727; e-mail: apoorvatu@gmail.com. 2.Subhash Chandra is working as Assistant Professor in Department of Electrical Engineering with GLA University, Mathura, India (phone: 7830775997; e-mail: 2003subhash@gmail.com. Asian countries), adding new customers only aggravates the problem of electricity outages and will ultimately lead to lesser number of hours for which electricity will be available. An Action-Aid study [2] takes our attention to an interesting fact regarding rural electrification in India. According to the report, the installed capacity of coal-fired power plants in India increased from 74429 MW in 2002 to 96,794 MW in 2009.Along with this increase in 22365 MW in coal based energy, 10,000 MW of hydro power capacity was also added between 2002 and 2009.During the same time period number of un-electrified villages came down marginally from 52 % in 2002 to 45 % in 2009 which counts to the electrification of 20,000 villages. Further, out of these 20,000 villages electrified, 2000 villages were electrified through decentralized renewable energy system. So renewable energy contributed around 2% of those reductions in un-electrified villages. On the other side, despite addition of over 33,000 MW of coal fired power plants & large hydropower, they contributed only 5 % in the rural electrification. So inference that can be taken out from this is that the addition of electricity generation for conventional power plants has not addressed the issue of electricity access to the poor rural population. Fig.1.Location of coal based plants & rural electrification scenario [2] The maps shown above clearly indicate that the area which has highest concentration of thermal power plants has dismal 1-10 % of rural electrification rate (shown in red). This clearly justifies our inference above & underlines the need to look something beyond just extending the national grid to rural areas. Looking into this scenario, major technological challenge is how to deliver sustainable electricity services to these rural populations. Given the relatively small loads, topographical International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. 71 Apoorva Saxena and Subhash Chandra constraints-isolated “Hybrid Mini grid” can attain a greater penetration, far beyond those which can be achieved in large scale grids in the near future. This point will be elaborated further in this paper. The goal of this paper is to explore the positive impacts of rural electrification and how it can lead to social upliftment & gender equality among poor communities at village level, contribute to the knowledge base of hybrid mini grids and analyze the scope of implementing hybrid mini-grids in district Pilibhit taking into consideration available local resources. This paper is organized as follows: Section II describes implications of rural electrification, Section III details the various technical approaches to bring electricity to rural areas with special focus on hybrid mini grids, Section IV discusses the scenario regarding installation of Hybrid Mini grids in district Pilibhit & Section V discusses the effective business model that could be adopted for sustainable operation of Hybrid mini grid. II. IMPLICATIONS OF RURAL ELECTRIFICATION Access to electricity leads to some direct benefits like higher productivity of agriculture products [3] and some indirect benefits like improved knowledge of weather conditions and crop prices due to access to televisions and radios. Electrification will be necessary in achieving any of the goals laid down by the Government of India in 12th five year plan. It can help to reduce child mortality rate through refrigeration of vaccines which will be available at village panchayat levels. It can help to achieve universal primary education by improving evening study conditions. Application of end-use energy technologies like food preservation and processing, electric appliances for grinding , local craft production would encourage home based women micro enterprises which can contribute significantly to house hold incomes[4].Electrification can thus enhance social welfare through augmented incomes. In rural Asia 1.9 billion men and women relies on wood, charcoal and dung as a major source of energy especially for cooking purposes.These methods of energy production are highly inefficient and poses significant health risk. As per World Health Organization (WHO) projections, the number of people who die prematurely each year could be over 1.5 million by 2030, which will be around 35 % more compared to death caused by malaria & HIV/AIDS combined together[4]. To promote the fuel transition in rural Asia from unhealthy fuel-wood and traditional bio-mass to electric based / improved bio-gas technology key factor would be to increase the income level of women working as a labor that would ultimately lead to economic worth in the use of women as a labor. This could act as a strong incentive to economies on women’s unpaid labor time in fuel collection and other household activities, encouraging use of clean, efficient sources of energy. So rural electrification can be a major driving force in attaining good health for children & women & can also lead to gender equality in rural India by empowering rural women. III. TECHNICAL APPROACHES FOR RURAL ELECTRIFICATION There are three basic technical approaches to bring electricity in rural areas [5]: (a) Extension of national grid (b) Isolated off-grid using renewable energy (c) Hybrid mini grid First option deals with simply extending the national grid to remote locations. But this approach of rural electrification is a challenging task because it involves delivery of a service to the people that are remote, dispersed and with low electricity consumption. This means that on one side the customer base is generally poor and less able to pay the full cost of the service and on the other side extending the transmission line to these remote, tough terrains include high expansion cost [4] .Combining both of these factors, it is imperative that to expect extension of grid to the un-served rural population in near future is a distant reality. The second option depends mainly on the dispersion of the household and type of load required. In these stand alone systems, power generation is installed close to the load and hence transmission and distribution costs are minimized. However the total cost of energy tends to be higher due to lack of subsidies. The third option deals with a distribution network spread in a localized area covering one or two villages and using at least two different non renewable technologies (PV panels, small hydro plants, biogas plants, wind turbines etc) for power generation with a diesel driven generator acting as a back-up. The combination of renewable energy sources with diesel driven generator has proven to be the least – cost solution as the advantage and benefits of every energy resource complement each other, with solar PV collectors complementing wind power during the month with less wind or picking up when hydro-generation drops during the dry season. Fig.2. AC bus bar coupled Hybrid mini-grid [6] A Hybrid mini grid is composed of three subsystems: generation, distribution and demand [7].The structure of each sub-system depends on the availability of resources & user characteristics. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. 72 Apoorva Saxena and Subhash Chandra A. Generation This sub-system comprises of renewable based generation, storage devices, converters and energy management system of Hybrid mini-grid. Taking total wet manure per animal per day/ Kg as 35 of which 4.5 Kg. is the total solid content [10], the total electrical energy output and digester volume will be calculated while designing the hybrid mini-grid B. Distribution This subsystem is responsible for distribution of energy to the end user via mini grid. For the case discussed in this paper, we propose the use of single phase alternating current system. This decision will have direct impact on the cost of the project and appliances that can be used. C. Resources for Hydro-energy In terms of water resources, this area has 17 rivers including major rivers like Sharda & Gomti [11] and has a total canal length of 938 Km [11] . C. Demand This subsystem includes all the end user side equipments such as meters , wiring and equipments which will run on power generated by hybrid power plant. IV. IMPLEMENTAION SCOPE ANALYSIS FOR PILIBHIT A. Adjusting to local resources available Renewable energies are highly location specific in nature. So any specific hybrid energy technology should be selected according to the availability of different renewable sources in a particular region. Animal husbandry is very popular in this district due to the availability of 78639 hectares of large dense forest[9] and accessibility of fodder in the nearby forest. The number of livestock present in the district is given in table below [9] Cattle Cows Buffaloes Goats Pigs Poultry Numbers 154633 264822 99735 11091 95805 So it can be concluded that due to large number of cows and buffaloes, there is a sufficient availability of cow dung in the region which can act as a raw material for biomass plant B. Calculation for digester sizing The energy available from a biogas digester is given by [10] (1) E H bVb where is combustion efficiency of boiler H b is the heat of combustion per unit volume of biogas Vb Volume of the bio-gas Also, Vb cm0 (2) where c is biogas yield per unit dry mass of whole input m0 is the mass of dry input. With the help of these data, volume of fluid in the digester (Vf) can be calculated. Hence volume of the digester is given by Vd = Vf ( flow rate) . t (retention time in digester) (3) Name of the channel Sharda Canal Hardoi Branch Kheri Branch Sharda Sagar feeder Outlet channel Subsidiary Hardoi Branch Length (in Km) 12.64 36.80 31.20 3.9 3.23 21.55 Looking into this scenario, there could be a major possibility of having micro hydro power plants in this region. The assessment of both biomass energy & hydro-energy clearly indicates that a hybrid mini grid with biomass and micro-hydro as energy sources will be ideally suited for designing a self sustained, cost effective hybrid power distribution network in this region. V. PROPOSED BUSINESS MODEL A. Community based Model Hybrid mini grids are usually located in remote isolated areas and hence does not attract private-sector /utility interest due to obvious commercial reasons. So we propose a Community based mini grid model in which community becomes the owner and operator of the system and provide maintenance, tariff collection and management services. In a community based organization, the owners/managers are also the consumers and hence they have strong interest in the quality of the service and on the other side generate O & M jobs for local poor people in the community. However, there are some challenges facing this socio-business structure [5]. First of all, local communities lack the technical skills to design, install & maintain the system and business skills to formulate & calculate tariff structure. So this community based model requires substantial technical assistance with regard to system installation, operation & maintenance of Hybrid mini grid which can only be implemented through participation from Central/State government. Second challenge facing this community based model is to measure and limit the consumption of each user to avoid potential conflicts within the community. Hence the committee which will be in-charge of the system management has to be constituted keeping in view the social structure of the area and with due consent of local leadership. Therefore, it is clear that if a community-based organization is to be successful, it requires time, nurturing, and capacity building. Sometimes, it may be more efficient to involve a private or public entity that will take on the technical aspects and International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. 73 Apoorva Saxena and Subhash Chandra therefore limit the community organization’s role to monitoring. [3] [4] [5] [6] [7] [8] [9] Fig.3. Proposed Business Model VI. CONCLUSION Hybrid mini grids can help to increase the rural electrification rate along with reliable power supply as compared to off- grid single source stand alone system. This is due to the fact that availability of power is ensured even when one of the generation sources faces intermittence. Biogas digesters and biomass gasifiers are particularly promising from the economic perspective, given their high capacity factors and availability in size ranges matched to mini grid loads. Mini grid system are also becoming economically viable option as the cost of renewable energy shows downward trend and fuel prices increases . Despite these opportunities, penetration of hybrid mini grid in most of the countries remains low. Some of the reasons behind this could be use of poor quality or untested technologies, insufficient funding or lack of subsidies. Poor assessment of local conditions often compounded by lack of local data is also the major cause of failure in many of the cases. Development of schemes without attention to developing supplementary programmes dealing with issues such as access to markets, SME development and working with local financing institutions, has contributed to a lack of demand and an inability to sustain the schemes. So for long term viability of the system it is imperative to include local leaders in decision making process and encourage local rural population in the operation & maintenance of hybrid mini-grid. This community based model of rural electrification could have myriad of positive impacts on the socio-economic conditions of the rural community and can ultimately lead to gender equality among the rural communities. However, serious training programs should be developed to compensate for the lack of skills among local peoples with participation from Central/State Government. [10] [11] the poor: The clean energy option, for Action Aid, pp.15-17. Hisham Zerriffi, Rural Electrification-strategies for distributed generation, Springer 2011 pp.3-4 Reihana Mohideen “ Implications of clean & renewable energy development for gender equality in poor communities in south-east Asia” IEEE 2012 Alliance for rural electrification(ARE)-Hybrid Mini grids for rural electrification: lessons learned pp. 10-14, Arif Md. Waliullah Bhuiyan, Kazi Shariful Islam, Muhammad Mohsiul Haque, Md. Rejwanur Rashid Mojumdar, and Md. Mahfuzu Rahman , ”Community-Based Convenient Hybrid Mini-Grid : Implementation Proposal and Analysis for Bangladesh ,” International Journal of Innovation Management and Technology, Vol. 2, No. 5, October 2011. International Energy Agency, Social, Economic & Organizational Framework for Sustainable operation of PV hybrid systems within Minigrids 2011. Brief industrial profile of district Pilibhit, Ministry of MSME, Govt. Of India Base Line survey in the minority concentrated districts of Uttar Pradesh, sponsored by Ministry of minority affairs, Govt. of India , 2008 pp.5 John Twidell &Tony Weir, Renewable Energy Resources - II edition, Taylor & Francis group pp.383-384 www.pilibhit.nic.in Apoorva Saxena has received his M.E. degree in Power System & Electric Drives from Thapar University, India in 2008. He has completed his B.E. degree in Electrical & Electronics Engineering from GLA Institute of Technology & Management, Mathura, India in 2003. Currently, he is working with GLA University, Mathura, India as Assistant Professor in Electrical Engineering Department. His current research area includes clean energy & Smart Grid Technologies. E-mail: apoorvatu@gmail.com. Subhash Chandra has received his M. Tech. degree in Power System & Drives from YMCAIE, Faridabad, India in 2009. He has completed his B. Tech. degree in Electronics Engineering from AIET, Lucknow , India in 2003. Currently, he is working with GLA University, Mathura, India as Assistant Professor in Electrical Engineering Department. His research interest include Clean Energy & Application of Power Electronics in Renewable Energy. E-mail: 2003subhash@gmail.com. REFERENCES [1] [2] International Energy Agency, World energy outlook 2011 Bast, Elizabeth and Srinivas Krishnaswamy, 2011. Access to energy for International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.Sandhya, Dr.A.Jaya Laxmi and Dr.M.P.Soni 74 Optimal Placement of Distribution Generation in Radial Distribution System K.Sandhya, Dr.A.Jaya Laxmi and Dr.M.P.Soni Abstract: In this paper the methodology to find the optimal size and location of distribution generation in radial distribution system is presented. The load flow technique for radial distribution system is proposed. The backward-forward sweep method is used to carry load flow analysis. The proposed methodology is applied on IEEE 33-bus test system. The results include the comparison of voltage profile and power flows before and after placing the DG. II. LOAD FLOW In any radial distribution network, the electrical equivalent of a branch-i, which is connected between nodes 1 and 2 having resistance r(i) and inductive reactance x(i) is shown in Fig.1. Keywords: Distribution Generation, Distribution System, Load Flow and Voltage Profile. I. INTRODUCTION With the restructuring of Power Systems and with shifting trends towards distributed and dispersed generation, the issue of Power Quality is going to take newer dimensions. The share of DGs in power system worldwide is increasing and their contribution in the future power system is expected to be even more. Energy policies worldwide are encouraging installation of DGs in both transmission and distribution networks along with large scale power generating plants. The general belief is that the future of the power generation will be DGs. But the fact is that the distribution systems were not planned to support the installation of active power generating units in them. DGs come with opportunities as well as challenges. They, in one hand, are expected to be the solution of most of the power system problems while, on the other hand, they are adding new problems. Their grid connection, pricing, change in protection scheme are the name of the few. Still maximum benefit from this new power generation technology can reap if it is handled properly. Hence, utilities and distribution companies need tools to place small generating units in their distribution systems. Fig.1. Electrical equivalent of a typical branch-i From Fig.1 current flowing through the branch-i is given by P (Re( i )) j * Q (Re( i ))) I (Re( i )) V (Re( i )) * ... (2.1) where, Se(i) = Sending end node Re(i) = Receiving end node Let I(i)=I(Re(i)) … (2.2) V(Re(i)) = Voltage magnitude at branch i V(Re(i))=V(Se(i))-I(i)×(R(i)+jX(i)) … (2.3) where, R = Resistance of branch i X = Reactance of branch i The active and reactive power losses in branch i are given by 2 P (i) = I (i ) × R (i ) 2 Q (i) = I (i ) X (i ) K.Sandhya is working as Research Scholar, Department of Electrical and Electronics Engineering, JNTU College of Engineering, Hyderabad, AP, INDIA. sandhyakp_msr@yahoo.co.in, Dr.A.Jaya Laxmi is worjing as Associate professor, Department of Electrical and Electronics Engineering, JNTU College of Engineering, Hyderabad, AP, INDIA. ajl1994@yahoo.co.in and Dr.M.P.Soni is working as Professor and Head, Department of Electrical and Electronics Engineering, MJ college of Engineering and Technology, Banjarahills, Hyderabad, AP, INDIA, drmpsoni@yahoo.com … (2.4) …(2.5) ln = number of branches nd = number of nodes Normally the substation voltage V(i) is known and is taken as│V(1)│=1.0 (p.u) Initially, P(i) and Q(i) are set to zero for all i. Then the initial estimate of P(2) and Q(2) will be the sum of the loads of all the nodes beyond node 2 plus the local load of International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.Sandhya, Dr.A.Jaya Laxmi and Dr.M.P.Soni 75 node 2. For all the branches i = 1,2,…….,nd-1 , compute P(i+1) and Q(i+1) . Compute │V(i=1)│, P(i) and Q(i) using Eqns. (2.3), (2.4) and (2.5). This will complete iteration. Update the loads P(i+1) and Q(i+1) (by including losses) and repeat the same procedure until all the voltage magnitudes are computed to a tolerance level of 0.0001 p.u. in successive iterations. Once all the nodes and branches are identified, then voltage magnitudes of all the nodes are calculated by using the Eqn. (2.3). It is necessary to obtain the exact feeding through all the receiving end nodes and the voltage magnitudes of all the nodes as the voltage of the substation is known (V(1)). Then compute the branch losses using Eqns. (2.4) and (2.5). The convergence criterion is that if the magnitude of voltage difference of successive iterations is less than the error (i.e., 0.0001) value, the solution is converged. The backward-forward sweep method is used to carry load flow analysis. consumed by a DG (wind turbine generator) in a simple form can be represented by Equ. (3.5). 2 Q DG ( 0 . 5 0 . 04 PDG ) Now the real loss equation can be written as 2 n n A [( P ij DGi PDi )Pj (1 0.04PDGi QDi )Q j ] PL 2 i 1 j 1 Bij [(1 0.04PDGi QDi ) Pj ( PDGi PDi )Q j ] n PL 2 Aii (Pi 0.08PDGiQj ) 2Bij (0.08PDGiPj Qj ) 0 PDGi j 1 2 Aii [ PDGi PDi 0.08 PDGi ( 0.05 0 .04 PDGi Q Di )] n n ( A P B Q ) 0 .08 P ij j ij j DGi ( Aii Q j B ij P j ) 0 j 1 j 1 j 1 j i X i PG = PD + PL n n ... (3.1) ... (3.2) Y B ij ij P j B ij ( A ii Q j B ij ) P j) Q j ... (3.8) ... (3.9) Equ. (3.8), thus, can be written as 3 0.0032AiiPDGi PDGi[1.004Aii 0.08AiiQDi 0.08Yi ] ( Xi AiiPDi ) 0 ... (3.10) If the above equation is solved for PDGi , it will be known that the amount of real power that the wind turbine has to produce at various locations so as to minimize the real loss. This will solve the sizing problem and placement problem is solved by comparing the losses by putting DG of corresponding optimal sizes at various locations. The bus at which the total loss is minimum and corresponding size will be the optimal location and size, respectively. ... (3.3) IV. RESULTS where R ij Cos ( i j ) V iV j R ij Sin ( i j ) V iV j i j 1 j1 i 1 j 1 A ij ( A n where, PL is the real power loss in the system, PG and PD are its power generation and demand, respectively. PL Aij ( Pi Pj Qi Q j ) Bij (Qi Pj Pi Q j ) j 1 j i III. PLACEMENT OF DG Min PL Such that ... (3.7) j 1 n The objective function can be written as: .. (3.6) The necessary condition for minimum loss is: Let, The objective of the placement technique is to minimize the real power loss. The DG supplies real power and absorbs reactive power so the bus where the DG is installed has to be treated as a load bus. Most of the wind turbines have the similar characteristic, so the location at which they are connected has been treated as load buses while performing load flow analysis. ... (3.5) ... (3.4) Pi and Qi are net real and reactive power injection in bus ‘i’, respectively. Rij is the line resistance between buses ‘i’ and ‘j’. Vi and i are the voltage and angle at bus ‘i’, respectively. For wind turbines, induction generators are used to produce real power and reactive power will be consumed in the process. The amount of reactive power they consume is a function of the active power output. The reactive power The computer programs have been developed in MATLAB software to examine the efficiency of the proposed approach. The proposed work is tested on 33-bus radial distribution system with a load of 3.72 MW and 2.3 MVAR. The proposed method is illustrated with 33 bus test system. Bus No. 1 is the source node connected to the transmission system while Branch 1 refers to the branch connecting Bus No. 1 to Bus No. 2. Based on the proposed methodology, the optimal DG sizes for all the buses are found in terms of their optimal real power production and corresponding reactive power consumption. The proposed algorithm is tested for solving IEEE-33 node systems whose single line diagram is shown in Fig. 2. The line, load data is shown in Table 1. The voltages obtained before placing DG and after placing DG are tabulated in Table 2. From the results it can be observed that the voltages obtained from after placing DG is greater than before placing DG and the active power losses reduced from 202.50KW to 132.29 KW which results in International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.Sandhya, Dr.A.Jaya Laxmi and Dr.M.P.Soni 76 34.6716 % real power loss reduction and the reactive power losses reduced from 135.13 to 88.40 KVAR which results in 34.5815 % reactive power loss reduction and minimum voltage is increased to 0.94947 from 0.91306 (p.u). Table.1.The line and load data for 33-node radial distribution system Branch Number Sending end Node 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 2 19 20 21 3 23 24 6 26 27 28 29 30 31 32 Base MVA = 100 Receiving end Node 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 Resistance R () Reactance X() 0.0922 0.4930 0.3660 0.3811 0.8190 0.1872 0.7114 1.0300 1.0440 0.1966 0.3744 1.4680 0.5416 0.5910 0.7463 1.2890 0.7320 0.1640 1.5042 0.4095 0.7089 0.4512 0.8980 0.8960 0.2030 0.2842 1.0590 0.8042 0.5075 0.9744 0.3105 0.3410 0.0470 0.2511 0.1864 0.1941 0.7070 0.6188 0.2351 0.7400 0.7400 0.0650 0.1238 1.1550 0.7129 0.5260 0.5450 1.7210 0.5740 0.1565 1.3554 0.4784 0.9373 0.3083 0.7091 0.7011 0.1034 0.1447 0.9337 0.7006 0.2585 0.9630 0.3619 0.5302 Active power (kW) 100.00 90.00 120.00 60.00 60.00 200.00 200.00 60.00 60.00 45.00 60.00 60.00 120.00 60.00 60.00 60.00 90.00 90.00 90.00 90.00 90.00 90.00 420.00 420.00 60.00 60.00 60.00 120.00 200.00 150.00 210.00 60.00 Reactive power (KVAr) 60.00 40.00 80.00 30.00 20.00 100.00 100.00 20.00 20.00 30.00 35.00 35.00 80.00 10.00 20.00 20.00 40.00 40.00 40.00 40.00 40.00 50.00 200.00 200.00 25.00 25.00 20.00 70.00 600.00 70.00 100.00 40.00 Base KV = 12.66 International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.Sandhya, Dr.A.Jaya Laxmi and Dr.M.P.Soni 77 Fig. 2. Single line diagram of 33-Bus radial distribution system. Table 2. Voltages obtained for 33-Bus system Voltage (p.u) Node No. Voltage (p.u) After placing DG 1.00000 Node No. 1 Before placing DG 1.00000 2 0.99702 3 17 Before placing DG 0.91367 After placing DG 0.95005 0.99769 18 0.91306 0.94947 0.98295 0.98716 19 0.99650 0.99716 4 0.97547 0.98230 20 0.99292 0.99358 5 0.96807 0.97764 21 0.99221 0.99288 6 0.94967 0.96503 22 0.99158 0.99224 7 0.94618 0.96258 23 0.97938 0.98361 8 0.94134 0.96281 24 0.97271 0.97696 9 0.93507 0.96364 25 0.96938 0.97365 10 0.92925 0.96504 26 0.94774 0.96313 11 0.92839 0.96421 27 0.94517 0.96061 12 0.92689 0.96277 28 0.93373 0.94937 13 0.92074 0.95685 29 0.92552 0.94129 14 0.91848 0.95467 30 0.92196 0.93779 15 0.91706 0.95331 31 0.91780 0.93370 16 0.91570 0.95200 32 0.91688 0.93280 33 0.91660 0.93782 Table 3. Comparison of Active and Reactive power losses in 33-Busradial distribution system DG placement Active power losses (KW) Reactive power losses (KVAR) International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.Sandhya, Dr.A.Jaya Laxmi and Dr.M.P.Soni 78 Before placing DG 202.70 135.23 After placing DG 25.29 3.34 Table 4. Bus ranking based up on the loss reduction capability for 33-Bus radial distribution system Reactive power losses (KVAR) Real power loss reduction (%) Reactive power loss reduction (%) Pi Pg Pd DG Size (MVAR) Real power losses (KW) 1.1079 0.0991 132.29 88.40 34.6716 34.5815 1.0479 9 0.7461 0.0723 147.59 98.21 27.1160 27.3218 0.6861 16 0.6726 0.0680 147.71 98.21 27.0567 27.3218 0.6126 17 0.6502 0.0669 151.03 101.77 25.4172 24.6873 0.5902 15 0.5370 0.0615 153.62 101.80 24.1382 24.6651 0.4770 11 0.5390 0.0616 156.59 104.04 22.6716 23.0074 0.4940 30 0.5123 0.0605 159.61 107.14 21.1802 20.7133 0.3123 12 0.3007 0.0536 174.58 116.30 13.7876 13.9347 0.2407 8 0.2766 0.0531 181.86 121.09 10.1925 10.3899 0.0766 Bus NO. DG Size (MW) 10 (MW) Fig.3 Bus Voltages Before and After Optimal DG Installation in the 33-Bus System International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.Sandhya, Dr.A.Jaya Laxmi and Dr.M.P.Soni 79 Fig. 4. Branch Currents Before and After Optimal DG Installation in the 33-Bus System Fig. 5 Optimal Real Power Production Before and After Optimal DG Installation in the 33-Bus System The voltages before and after optimal DG installation is shown in Fig. 3, from which it is clear that voltage profile is improved by optimal placement of DG. The branch currents before and after DG placement is shown in Fig. 4 and from this it is observed that the branch currents are decreases after placing DG compared to before placing DG. The Fig. 5 shows the optimal real power production before and after DG placement. It is clearly observed that the optimal real power loss is reduced after DG placement. From the results it can be observed that the voltages obtained from after placing DG is greater than before placing DG and the active power losses reduced from 225.02 to 129.46 KW which results in 42.4673 % real power loss reduction and the reactive power losses reduced from 102.18 to 61.34 KVAr which results in 39.9686 % reactive power loss reduction and minimum voltage is increased to 0.94326 from 0.90918 (p.u). V. CONCLUSION This paper presents methodology to place wind turbine DG optimally in primary distribution systems with the view of minimizing the real power loss in the system while considering its characteristic. The methodology is fast and accurate in determining the size and location of DG. In this paper, it is assumed that the DG installed at one location at a time, which is a valid assumption. It is observed that the optimal DG placement in the radial distribution system improves the voltage profile. Losses of the system are also reduced with a good percentage, after placing DG. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. K.Sandhya, Dr.A.Jaya Laxmi and Dr.M.P.Soni REFERENCES [1]. W.F. Tinnery and C.S.Hart, “Power flow solution by Newton’s”, IEEE Transaction On power Apparatus and Systems, Vol. PAS-86, Nov.1967, pp. 1449-1460. [2]. B. Stott and O.Alsac, “Fast decoupled load flow”, IEEE Trans. on power Apparatus and Systems, Vol. PAS-93, 1974, pp. 859-869. [3]. S.I.Wamoto and Y.Tamura, “A load flow calculation method for ill-conditioned pwer system”, IEEE Trans.on power Apparatus and Systems, Vol. PAS-100, 1981, pp. 1736-1740. [4]. D.Rajicic and Y. Tamura, “A modification to fast decoupled power flow for networks with high R/X Ratio”, IEEE Transaction on power systems, Vol. 3, 1988, pp. 341-348. [5]. W.H.Kersting and D.L.Mendive, “An application of ladder networks theory to the solution of three phase radial load flow problem”, IEEE PES winter meeting New York, January 1976, paperA76 044-8. [6]. D. Shirmohammadi and H.W.Hong, “A compensation - based power flow method for weakly meshed distribution and transmission networks”, IEEE Trans. on power delivery, Vol. 3, 1988, pp.753-762. [7]. Mithulananthan, N. Oo, T. and Phu, L.V. , “ Distributed Generation Placement in Power Distribution System Using Genetic Algorithm”, International Journal on Science, Vol. 9, No. 3, pp. 55-62 [8]. Kim, K. H. Lee, Y. J. Rhee, S. B. Lee, S. K. and You, S. K., “Dispersed Generation Placement Using Fuzzy-GA in Distribution System”, In Proceedings of IEEE Power Engineering Society Summer Meeting, Chicago, Vol. 3,2002, pp. 1148-1153. [9]. Kim, J. O. Nam, S.W. Park, S. K. and Singh, C., “ Dispersed Generation Planning Using Improved Hereford Ranch Algorithm”, Electric Power Systems Research, Vol. 47,1998, pp. 47-55. 80 of Technical Education (M.I.S.T.E), Member System Society of India (M.S.S.I), Member IEEE, Member International Accredition Organization (IAO) and also Member of Institution of Electronics and Telecommunication Engineers (MIETE). Dr. M. P. Soni, Worked as Addl. General Manager in BHEL (R & D in Transmission and power System Protection. Worked as Senior Research Fellow at I.I.T. Bombay for BARC Sponsored Project titled, ‘Nuclear Power Plant Control’ during the year 1974 - 1977. Presently Working as Professor and Head, Department of Electrical and Electronics Engineering, M.J. College of Engineering and Technology, Banjarahills, Hyderabad. India. He has undertaken the following projects like “Dynamic Simulation Studies on Power System and Power Plant Equipments”, “Initiated developments in the area of Numerical Relays for Substation Protection”, “Developed Microprocessor based Filter bank protection for National HVDC Project and commissioned at 220 kV Substation s ,MPEB Barsoor and APTRANSCO Lower Sileru, Terminal Stations of the HVDC Project. “Commissioned Numerical Relays and Low cost SCADA System at 132kV, GPX Main Distribution Substation, BHEL Bhopal”. He has 20 international and national conference papers to his credit. His research interests include power System protection and advanced control systems. K.Sandhya, obtained B.Tech degree in 2001 and M.Tech in 2007 with specialization in Electrical Power Systems from Jawaharlal Nehru Technological University and pursuing Ph.D. (Power Quality) from Jawaharlal Nehru Technological University, Hyderabad, India. She has 11 years of teaching experience. Her research interests are Power Systems, Power Quality, FACTS and Custom Power Devices. She has 6 international and national conference papers to her credit. She is a Member of Indian Society of Technical Education (M.I.S.T.E). Dr. A. Jaya Laxmi completed her B.Tech. (EEE) from Osmania University College of Engineering, Hyderabad in 1991, M. Tech. (Power Systems) from REC Warangal, Pradesh in 1996 and completed Ph.D. (Power Quality), from Jawaharlal Nehru Technological University College of Engineering, Hyderabad in 2007. She has five years of Industrial experience and 14 years of teaching experience. She has worked as Visiting Faculty at Osmania University College of Engineering, Hyderabad and is presently working as Associate Professor, Department of Electrical and Electronics Engineering, JNTU College of Engineering, Hyderabad. She has 50 International and 10 National papers published in various conferences held at India and also abroad. She has 20international journal papers and 5 national journals & magazines to her credit. Her research interests are Neural Networks, Power Systems & Power Quality. She was awarded “Best Technical Paper Award” for Electrical Engineering in Institution of Electrical Engineers in the year 2006. Dr. A. Jaya Laxmi is a Member of Institution of Electrical Engineers Calcutta (M.I.E), Member of Indian Society International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Ms. Preeti Dhiman, Deepankar Anand, Ekta Singh and Komal Grover 81 PC Based Speed Control of Induction Motor Ms. Preeti Dhiman, Deepankar Anand, Ekta Singh and Komal Grover Abstract—In industrial surroundings induction motors are gaining popularity due to their performing proficiency. Mostly hardware manual control system is used for controlling the various parameters of induction motor such as speed, torque, direction and frequency. In the present paper, we are controlling the speed of an induction motor by controlling the voltage required to drive the motor by using Thyristor. The whole procedure for controlling the speed of an induction motor is being done by coding in MATLAB. This method of controlling speed of induction motor is advantageous as compared to other conventional methods using techniques which require wires for their proper implementation. Keywords—MATLAB, optocoupler, HT12E(12-bit encoder), HT12D(12-bit decoder), Microcontroller, M9MZ60G4Y 4P 60 W 200 V / 220 V (induction motor). 1. INTRODUCTION A simplest method to control the rotation speed of an Induction motor is to control its driving voltage. The higher the voltage is, the higher speed the motor tries to reach. An induction or asynchronous motor is a type of AC motor where power is supplied to the rotor by means of electromagnetic induction, rather than by slip rings and commentators as in slip-ring AC motors. These motors are widely used in industrial drives, particularly poly phase induction motors, because they are robust, have no friction caused by brushes, and their speed can be easily controlled. Various other methods are also been used like fuzzy logic approach which makes use of Simulink. Another method called ANFIS (Adaptive Neuro-Fuzzy Inference System) is also used in some approaches of speed control of induction motor. In this research paper we are going to introduce speed control of induction motor. In this paper we are using MATLAB to generate code for controlling induction motor connected at the parallel port. At the pc parallel port we have connected RF transmitter, to transmit code to the remote location. At the remote location we have RF receiver microcontroller and Induction motor. The microcontroller receives decoded binary signal and performs programmed logical operation on motor. Ms. Preeti Dhiman is working as Asst. Prof. Galgotia’s College of Engg. & Tech, Preetidhiman81@gmail.com, Ekta Singh, Deepankar Anand and Komal Grover are with Galgotia’s College of Engg. & Tech, Emails: Ektasingh2309@gmail.com, Deepravilko0522@hotmail.com , Komalgrover89@gmail.com 2. WORKING METHODOLOGY In recent years, speed control of induction motor drive is widely used in high performance drive system because of its advantages like high efficiency, very simple , extremely rugged, good power factor and it does not require starting motor. Induction motors are used in many applications such as HVAC, Industrial drives control, automotive control, etc... In recent years there has been a great demand in industry for adjustable speed drives [1]. Fuzzy logic control has found many applications in the past decade. The simulation work in fuzzy logic controller is to be done by varying the change of mutual inductance and rotor resistance which in itself is a major problem. Fuzzy Logic, deals with problems that have vagueness, uncertainty and use membership functions with values varying between 0 and 1 [2]. This means that if a reliable expert knowledge is not available or if the controlled system is too complex to derive the required decision rules, development of a fuzzy logic controller become time consuming and tedious or sometimes impossible. The advantage of coding in MATLAB is that it control the speed of induction motor using low cost PC based platform. The code generated will be sent to the parallel port of PC from where it will be converted into digital form. Pin number on connector 1 I/O Direction Active Polarity Signal Description Output 0 2-9 Output - 10 Input 0 11 Input 0 12 Input 1 13 Input 1 14 Output 0 Strobe (data available signal). Data lines (bit 0 is pin 2, bit 7 is pin 9). Acknowledge line (active when remote system has taken data). Busy line (when active, remote system is busy and cannot accept data). Out of paper (when active, printer is out of paper). Select. When active, printer is selected. Auto feed. When active, the printer automatically inserts a line feed after International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Ms. Preeti Dhiman, Deepankar Anand, Ekta Singh and Komal Grover 82 every carriage return it receives. 15 Input 0 16 Output 0 17 Output 0 18-25 - - Error. When active, there is a printer error. Init. When held active for at least 50 µsec, this signal causes the printer to initialize itself. Select input. This signal, when inactive, forces the printer off-line. Signal ground. Table 2.1: Parallel port signal Table 2.1 shows pin details of the standard parallel port (SPP) and their traditional usage. The base address of the first parallel port (LPT1) is 378 (hex) or 888 (decimal). The data port of the parallel port can be accessed at its base address. The status port can be accessed at base address+ 1, i.e., 0379 hex (or 889 decimal). The control port can be accessed at base address+ 2, i.e., 037A hex (or 890 decimal). In case you are using LPT2 port, then substitute the base address of LPT2 as 0278 (hex) in place of 0378 (hex). The circuit for interfacing the PC’s parallel port to the devices to be controlled. The parallel port outputs the control signals generated by the software. The control signals are not continuous but a single clock pulse. For every ‘on’ or ‘off’ control, only a single clock pulse is sent from the parallel port to the circuit. A. 1. 2. 3. 4. 5. 6. 7. TRANSMITTER SECTION: The transmitting site checks the busy line to see if the receiving is busy. If the busy line is active, the transmitter waits in a loop until the busy line becomes inactive. The transmitting site places its data on the data lines. The transmitting site activates the strobe line. The transmitting site waits in a loop for the acknowledge line to become active. The transmitting site sets the strobe inactive. The transmitting site waits in a loop for the acknowledge line to become inactive. The transmitting site repeats steps one through six for each byte it must transmit. Figure 2.1 Transmitter section block diagram There are many situations where signals data need to be transferred from one subsystem to another within a piece of electronics equipment, or from one piece of equipment to another, without making a direct ohmic electrical connection. Often this is because the source and destination are (or may be at times) at very different voltage levels like a microprocessor which is operating from 5V DC but being used to control a triac which is switching 240V AC. In such situations the link between the two must be an isolated one, to protect the microprocessor from overvoltage damage. Relays can of course provide this kind of isolation, but even small relays tend to be fairly bulky compared with ICs and many of today’s other miniature circuit components because they are electro-mechanical, relays are also not as reliable and only capable of relatively low speed operation. When there is a need of small size, higher speed and greater reliability, a much better alternative is to use an optocoupler. These use a beam of light to transmit the signals or data across an electrical barrier, and achieve excellent isolation. Optocouplers typically come in a small 6-pin or 8-pin IC package, but are essentially a combination of two distinct devices: an optical transmitter, typically a gallium arsenide LED (light-emitting diode) and an optical receiver such as a phototransistor or light-triggered diac. The two are separated by a transparent barrier which blocks any electrical current flow between the two, but does allow the passage of light. The basic idea is shown in Fig.1, along with the usual circuit symbol. HT 12E (Encoder). Figure 2.2: Optocoupler The 212 encoders are a series of CMOS LSIs for remote control system applications. They are capable of encoding information which consists of N address bits and 12_N data bits. Each address/ data input can be set to one of the two logic states. The programmed addresses/data are transmitted together with the header bits via an RF or an infrared International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Ms. Preeti Dhiman, Deepankar Anand, Ekta Singh and Komal Grover 83 transmission medium upon receipt of a trigger signal. The capability to select a TE trigger on the HT12E or a DATA Trigger on the HT12A further enhances the application flexibility of the 212 series of encoders. The HT12A additionally provides a 38 kHz carrier for infrared systems. Figure 2.3: Block diagram of HT12E A. Figure 2.4: Block diagram of Receiver section RECEIVER SECTION: 1. The receiving site sets the busy line inactive (assuming it is ready to accept data) 2. The receiving site waits in a loop until the strobe line becomes active. 3. The receiving site reads the data from the data lines (and processes the data, if necessary). 4. The receiving site activates the acknowledge line. 5. The receiving site waits in a loop until the strobe line goes inactive. 6. The receiving site sets the acknowledge line inactive. 7. The receiving site repeats steps one through six for each additional byte it must receive. B. RF Receiver: HT 12D Receive and decode 12 bit encoded data transmitted by HT12E, for further processing. The HT12D is 12 bit decoders are a series of CMOS LSIs for remote control system applications. They are paired with Holtek’s 2^12 series of encoders. For proper operation, a pair of encoder/decoder with the same number of addresses and data format should be chosen. The decoders receive serial addresses and data from a programmed 2^12 series of encoders that are transmitted by a carrier using an RF transmission medium. They compare the serial input data three times continuously with their local addresses. If no error or unmatched codes are found, the input data codes are decoded and then transferred to the output pins. The VT pin also goes high to indicate a valid transmission. The 2^12 series of decoders are capable of decoding information that consist of N bits of address and 12_N bits of data. Of this series, the HT12D is arranged to provide 8 address bits and 4 data bits. The decoded data is used to control the speed of induction motor in various ways. Here we using pulse width modulation technique with microcontroller logic [3], [4]. C. MICROCONTROLLER LOGIC: The function of microcontroller is to control input output based on the programmed embedded hex logic. The microcontroller continuously scans input logic. The input logic is 4BCD data from HT12D one from fire sensor and International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Ms. Preeti Dhiman, Deepankar Anand, Ekta Singh and Komal Grover one from light sensor. If any one of them changes their logic level microcontroller goes to particular subroutine and perform particular task. Let us consider a case when key ‘2’ is pressed on the keyboard of PC, thus at receiver side HT12D generate corresponding BCD logic 0010. The microcontroller receives 0010 at pin no 1,2,3,4. The microcontroller is programmed if input is 0010, move to motor left. The motor will move left. This moment is done by microcontroller using pulse width modulation. Thus when we press 2 key microcontroller provide different pulses to the induction motor. In the same way all microcontroller subroutine gets executed and perform corresponding task. 2. 84 [3] [4] [5] [6] [7] EASE OF USE One of the problems with the ANFIS design is that a large amount of training data might be required to develop an accurate system, depending always on the research study. Another disadvantage, which has been discussed, is the fact that there is only one output from an ANFIS. Thus, ANFIS can only be applied to prediction tasks or the approximation of nonlinear function where there is only one output. Furthermore, another drawback has to do with the optimization algorithm used in this study. More specifically, the error back-propagation algorithm is based on gradient descent method which according to the error surface tries to find the best weight and bias composition in order to minimize the network error, but there are some disadvantages like slow converges, lack of robustness and inefficiency[5-8]. [8] S.M.Wenkhede, R.M.Holmukhe, Miss.A.M.Kada, Miss.P.R. Shinde, P.S. Chaudhary, Micro controller Based Control of Three Phase Induction Motor Using PWM Technique,International Conference on Electrical Energy and Networks (ICEEN), 2011 Mrs.DeepaliS.Shirke, Prof. Mrs.Haripriya, H.Kulkarni, Microcontroller based speed control of three phase induction motor using v/f method,International Journal of Scientific and Research Publications (IJSRP), ISSN2250-3153, volume 3,ISSUE 2, 2013 Electr Industrial electronic series, Series Editor, J. David Irwin, Auburn University 8051 Microcontroller M.A. Mazidi Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, Electron spectroscopy studies on magneto-optical media and plastic substrate interface, IEEE Transl. J. Magn. Japan, vol. 2, pp. 740–741, August 1987 [Digests 9th Annual Conf. Magnetics Japan, p. 301, 1982]. M. Young, The Technical Writer's Handbook. Mill Valley, CA: University Science, 1989. In our approach, we are using thyristor to generate different set of voltages for controlling the speed of an induction motor and this is being achieved by controlling its firing angle. So, out main focus is to control their speed of motor using the easiest way. 3. CONCLUSION In this paper, we presented a system for speed control of induction motor using easy n less tedious circuitry. Microcontroller that has been used will make the control more effective. Since induction motor is widely used in industries, thus its speed control will be a great asset. References [1] [2] W. Leonhard, Control of Electrical Drives, Springer-Verlag Berlin Heidelberg, New York, Tokyo, 1985. T. D. Dongale1, T .G. Kulkarni, S.R.Jadhav, S.V.Kulkarni, R. R. Mudholkar, Ac induction motor control-neurofuzzy,International Journal Of Engineering Science and Advanced Technology(IJESAT),ISSN:2250-3676,Volume 2, issue-4,2012 International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Annapurna Birdar and Ravindra G. Patil 85 Energy Conservation Using Variable Frequency Drive Annapurna Birdar and Ravindra G. Patil Abstract: The paper describes the use and importance of VFD drive in firing of ceramic insulators. The ceramic insulators undergo certain physical treatments before being subjected to some mechanical and electrical test. Heat treatment is the most important one. This treatment makes the insulator durable, bonded and moisture less. The heating process is generally carried out in kiln. It requires gas or oil as fuel and air as medium. Volume of air pumped into the kiln is controlled by air blower motor, which is necessary for firing of insulators. Variable frequency drives (VFDs) are used to control three phase induction motor which intern controls the output of an air blower motor. VFDs are used to vary supply frequency to control the speed of air blower motor. Installation of VFDs offers high efficiency ease of operation and savings in cost due to less power consumption. VFDs require less maintenance, improve process control and have become the drive of choice in the majority of applications. In addition, speed control is generally the most energy efficient flow control technique because it requires the least amount of energy to meet the given load. The project is designed to highlight the use of VFDs for the control of air flow in the kiln used for firing of insulators by varying the supply frequency. Keywords: Blower Control, Energy Conservation, Speed Control, Supply Frequency Control, VFD. I. INTRODUCTION Motors are designed to run at a constant speed. However, motor drive systems are often operated at variable load. In particular, fans and pumps have highly irregular load profiles. This means, the motors on these systems either run at constant speed bypassing the excess capacity, or use some form of capacity regulation such as dampers, valves or inlet guide vanes, all of which are very inefficient. System output can be controlled by adjusting the speed of the motor using Variable Frequency Drives. VFDs offer higher efficiencies are easier to control, require less maintenance, improve process control and have become the drive of choice in the majority of applications. In addition, speed control is generally the most energy efficient flow controls technique because it requires the least amount of energy to meet the given load. II. INDUCTION MOTORS Induction motors [3] are the most common motors used in the industrial motion control systems as well as in main powered home appliances. Although induction motors are easier in design than DC motors, the speed and torque control in various types of induction motors require a greater understanding of the design and the characteristics of these motors. Three phase induction motors are commonly used in adjustable-speed drives. Their main advantages over other motors are self-starting property, higher power factor, good speed regulation and robust construction. Working principle The working principle of the three-phase induction motor is based on the production of rotating magnetic field (RMF). Such a field is produced by supplying currents to a set of stationary windings, with the help of three phase ac supply. The current carrying windings produce the magnetic field or flux, due to the interaction of three fluxes produced due to three phase supply, resultant flux has a constant magnitude and its axis rotating in space, without physically rotating the windings. The RMF gets cut by rotor conductors as RMF sweeps over rotor conductors. As a result emf gets induced in the rotor conductors called rotor induced emf. Any current carrying conductor produces its own flux. Thus, the rotor produces its flux called rotor flux. As all the rotor conductors experience a force due to the interaction of the two fluxes, the overall rotor experiences a torque and starts rotating. Thus, interaction of the two fluxes is essential for motoring action. Speed of an induction motor: The magnetic field created in the stator rotates at a synchronous speed (Ns), which is given by = 120 Where, = the synchronous speed of the stator magnetic field in RPM, P= the number of poles on the stator, f= the supply frequency in hertz Annapurna Birdar, M.Tech(PES), EEED, BEC, Bagalkot and Ravindra G. Patil Associate Professor, EEED, BEC, Bagalkot, Emails: biradar_annapurna@yahoo.co.in, rgpapril@yahoo.co.in International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Annapurna Birdar and Ravindra G. Patil Figure 1: Operating principle of Induction motor The magnetic field produced in the rotor because of the induced voltage is alternating in nature. To reduce the relative speed, with respect to the stator, the rotor starts rotating in the same direction as that of the stator flux and tries to catch up with the rotating flux. However, in practice, the rotor runs slower than the stator field. This speed is called the Base speed ( ). The difference between and is called the slip. The slip varies with the load. An increase in load will cause the rotor to slow down or increase slip. The slip is expressed as a percentage and can be determined by the following expression. − % = ∗ 100 Speed control of ac induction motors: Speed control of a motor is a provision for intentional change of speed according to the requirement of workload connected with the motor. A three-phase induction motor is inherently a constant speed motor and it is very difficult to achieve smooth speed control and if speed control is achieved by some means, the performance of the induction motor in terms of its power factor, efficiency etc gets adversely affected. The speed of the induction motor depends on the frequency (f) and the number of poles. The synchronous speed can be obtained by the following expression. = (1 − ) ∗ Where, ‘Nr’ is the rotor speed and s is the slip which has an operational range of 0.01 to 0.05. Methods of Speed Control: 1. Speed control by changing the rotor resistance Torque produced in case of three-phase induction motor is given by = ∗ ∗ ∗ +( ∗ ) Where, = rotor induced emf per phase on standstill condition = rotor reactance per phase on standstill = rotor resistance per phase on standstill S= slip. For low slip region ( ∗ ) ≪ and can be neglected and for constant supply voltage is also constant. Therefore, torque is inversely proportional to rotor resistance. Thus if the rotor resistance is increased, the torque produced decreases. 86 But when the load on the motor is same, motor has to supply same torque as load demands. Thus, motor reacts by increasing its slip to compensate decrease in T due to and maintains the load torque constant. So due to additional rotor resistance , motor slip increases i.e. the speed of the motor decreases. But this method has the following disadvantages: Large speed changes are not possible. This is because, for large speed change, large resistance is required to be introduced in rotor which causes large rotor copper loss to reduce the efficiency. The method cannot be used for squirrel cage induction motor. Speed above rated values cannot be obtained. Large power losses occur due to large losses and reduced efficiency. Sufficient cooling arrangements are required, which make the external rheostats bulky and expensive. 2. Speed control by changing number of poles In the pole changing method, the stator winding of each phase is divided into two equal groups of coils. These coil groups are connected in series or parallel with the current direction being reversed only in one group to create two different numbers of poles (even) in the ratio 2:1 respectively. When the connection is changed from series to parallel or vice versa, the current in one of the group of coils is also reversed at the same time. This technique is called consequent pole method, which is applied to all the three windings (phases). This type of speed control is suitable for squirrel cage rotor which can adapt to any number of stator poles. This method has the following disadvantages: Smooth speed control is not possible. Two different stator windings are to be wound; hence increases the cost of the motor. Complicated from design point of view. 3. Speed control by changing stator voltage The torque developed by an induction motor is proportional to the square of the voltage applied. If the supply voltage is reduced below rated value, torque also reduces. To supply the same load it is necessary to develop same torque hence the value of slip increases so that torque produced remains the same. Increase in slip means motor runs at a lower speed. This method of speed control is suitable for a narrow band of speeds. Starting currents of such motors is very high. Also, the rotor must have high inherent resistance to limit the inrush of the current. This in turn means that the losses in the rotor will be very high since the power is dissipated as heat. This results in overheating of the rotor. This method is usually employed for slip ring induction motor. This method has the following drawbacks: Due to the reduction in voltage, current drawn by the motor increases and this may result in the overheating of the motor. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Annapurna Birdar and Ravindra G. Patil 4. Large change in voltages is required for small change in speed. Due to reduced voltage, rotor induced emf decreases the value of maximum torque. Additional voltage changing equipment is necessary. Supply frequency control or V/f control Since motor depends on the speed of the rotating field, which depends on the supply frequency, speed control can be affected by changing the frequency of the AC power supplied to the motor. As in most machines, the induction motor is designed to work with the flux density just below the saturation point over most of its operating range to achieve optimum efficiency. The flux density B is given by Where V is the applied voltage, f is the supply frequency and is a constant which depends on the stator winding constant stator turns per phase. In other words, if the flux density is constant, Volts per hertz is also a constant. This is an important relationship and it has the following consequences. For, speed control, the supply voltage must increase in step with frequency; otherwise the flux in the machine will deviate from the desired optimum operating point. Practical motor controllers based on frequency control must therefore have a means of simultaneous controlling the motor supply voltage. This is known as Volts/Hertz control. Increasing the frequency without increasing the voltage will cause the reduction of the flux in the magnetic circuit thus reducing the motor’s output torque. The reduced motor torque will tend to increase the slip with respect to the new supply frequency. This in turn causes a greater current flow in the stator, increasing the IR volt drop across the winding as well as copper losses in the windings. The result is a major drop in the motor efficiency. Increasing the frequency, still further will ultimately cause the motor to stall. Increasing the voltage without increasing the frequency will cause the material in the magnetic circuit to saturate. Excessive current will flow giving rise to high heat dissipation due to losses in the windings and high eddy current losses in the magnetic circuit and ultimately damage to the motor due to overheating. Increasing the voltage will not force the motor to exceed the synchronous speed because as it approaches the synchronous speed, the torque drops to zero. Hence, in this method, the supply to the induction motor required is variable voltage variable frequency supply and can be achieved by electronic scheme using converter and inverter scheme. 87 Figure 2: Electronic scheme for V/f control The control system converts the desired speed to a frequency reference input to a variable frequency, variable voltage inverter. At the same time, it multiplies the frequency reference by the Volts/Hertz characteristic ratio of the motor to provide the corresponding voltage reference to the inverter. Changing the speed reference will then cause the voltage and frequency outputs from the inverter to change in unison. III. VARIABLE FREQUENCY DRIVE Brief Overview Insulators are designed to work under variable atmospheric conditions and are subjected to high mechanical stress. They have to undergo certain physical treatments before they are used in practical applications. One of the main treatments is the heat treatment or firing. This process makes the insulator lose its moisture content and makes it durable and bonded. Insulators are heated at different pressures for different periods of time. The heating of insulators is done inside the kiln and air inside this heating chamber has to be maintained under certain pressure so as to maintain the necessary temperature. Air is used for combustion. The passage of air inside the kiln is done by using air blower which is driven by three phase induction motor. The amount of air sent into the kiln by this blower is controlled by using damper arrangement. The position of the damper is adjusted to let the required amount of airflow into the kiln. But, this method of controlling air pressure offers various disadvantages which are dealt with in detail in later in this chapter. This necessitated developing an efficient, economical, accurate and flexible method for the heating of insulators. The paper involves the basic study of a VFD, its use in efficient firing of insulators, effective speed control method of air blower motor and obtaining the cost saving analysis for the same. The VFD arrangement converts the supply as desired and this converted supply is given to the motor. The speed of rotation of the motor is controlled efficiently. [1] Heat Treatment of Insulators Figure 3: Block Diagram of treatment process The parameters of the block diagram are explained below: Fuel Tank: The fuel used in this kiln is gas. Huge cylinders made of steel are used for storing the gas fuel. This is placed International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Annapurna Birdar and Ravindra G. Patil in a remote place and the fuel is carried through steel pipes to the required areas. Fuel Pressure Control: The pressure of the incoming fuel plays as important role in the prevailing temperature inside the kiln. The pressure and the air to the kiln decide the temperature inside the kiln. Dampers are used for the fuel pressure control and they are witnessed by using manometers. 88 chambers within the cylinder which passage is opened and closed by the movement of the piston and an air regulating valve press-fit into the lower air port portion of the cylinder. VFD System Description A variable frequency drive system generally consists of an AC motor, a controller and an operator interface. A general block diagram of a VFD system is as shown in fig 4. Burner: Gas is supplied to the kiln using burners made of heat resistant materials. These burners are connected to the gas supply pipes through valves. The figure shows one of the burners in the kiln. A mixture of air and gas is sent inside the heating chamber. There is an ignition spark plug called a lighter which ignites the flame whenever required. The lighter operation is controlled manually. Gas Supply: The gas is supplied to the kiln by using burners made of heat resistant materials. These blowers are connected to the gas supply pipes through valves. The mixture of air and gas is sent inside the heating chamber. Using igniting spark plug which is called a lighter ignites the flame whenever required. The lighter operation is controlled manually at the remote station as the lighter is electrical igniter. Kiln: The kiln is the heating chamber where the insulators are treated. The kiln is build with bricks and they are coated with heat resistive paints. Care is taken such that heat does not leak out as this leakage not only reduces the efficiency of the process but also affects the quality of the insulator. Air Blower motor: Air blower controls the internal heat of the chamber. This setup consists of a three phase induction motor connected to a fan or blower. The pressure of air entering the kiln is controlled by using damper of speed drive arrangement. Separate pipes and tubes maintained for gas and air. Burning Process: Liquid petroleum gas (L.P.G.) is used as a fuel in the burner. A small amount of fuel is passed through pilot valve to the ignition chamber and at the same time a voltage of about 5kV is applied across the spark plug through the ignition transformer. If the fuel is ignited the ultra violet (U.V.) sensor senses the blue flame and correspondingly a feedback is sent to the main valve for the continued supply of fuel. If the U.V. sensor doesn’t sense the blue flame a feedback is sent to stop the further supply of fuel. Air is supplied to the ignition chamber from primary and secondary air panel through blowers. The primary air panel supplies air necessary for burning and secondary air panel helps in the uniform distribution of air throughout the chamber. Blowers work on the principle of centrifugal force. The amount of air flow into the blower is controlled by variable frequency drive (V.F.D’s). Dampers: An air damper comprises a cylinder having air ports at its upper and lower portions, a piston rod, a piston movably mounted on one end of the piston rod, a return spring, an air passage provided between upper and lower Figure 4: Variable frequency drive system VFD Motor The motor used in a VFD system is usually a three-phase induction motor .Some types of single-phase motors can be used, but three-phase motors are usually preferred. Various types of synchronous motors offer advantages in some situations, but induction motors are suitable for most purposes and are generally the most economical choice. Motors that are designed for fixed-speed mains voltage operation are often used, but certain enhancement to the standard motor designs offer higher reliability and better VFD performance. VFD Operation When a VFD starts a motor, it initially applies a low frequency and voltage to the motor. The starting frequency is typically 2Hz or less. Starting at such low frequency avoids the high inrush current that occurs when a motor is started by simple applying the utility (mains) voltage by turning on a switch. When a VFD starts, the applied frequency and voltage are increased at a controlled rate or ramped up to accelerate the load without drawing excessive current. This starting method typically allows a motor to develop 150% of its rated current. When a motor is simply switched on at full voltage, it initially draws at least 300% of its rated current while producing less than 50% of its rated torque. As the load accelerates, the available torque usually drops a little and then rises to a peak while the current remains very high until the motor approaches full speed. A VFD can be adjusted to produce a steady 150% starting torque from standstill right up to full speed while drawing only 150% current. With a VFD, the stopping sequence is just the opposite as the starting sequence. The frequency and voltage applied to the motor are ramped down at a controlled rate. When the frequency approaches zero, the motor is shut off. A small amount of braking torque is available to help decelerate the load a little faster than it would stop if the motor were simply switched off and allowed to coast. Additional braking torque can be obtained by adding a braking circuit to dissipate the braking energy or return it to the power source. Functional Block Diagram International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Annapurna Birdar and Ravindra G. Patil 89 As already mentioned in the VFD operation the conversion process incorporates three functions: Rectifier Stage: A full-wave, solid-state rectifier converts three-phase 50Hz power from a standard 440 or higher utility supply to either fix or adjustable DC voltage. The system may include transforms if higher supply voltage is used. Inverter Stage: Electronic switches-power transistors or thyristors- switches the rectified DC on and off, and produce a current or voltage waveform at the design of the inverter and filter. Control System: An electronic circuit receives feedback information from the driven motor and adjusts the output voltage or frequency to the selected values. Usually the output voltage is regulated to produce a constant ratio of voltage to frequency (V/Hz). Calculation may incorporate many complex control functions. Table 1: The heating cycle of hollow insulators Hours Burner Temperature 175.83 274 413.2 16-20 554.4 21-25 735.6 26-30 871.6 31-35 912.4 36-40 975.4 41-45 1027.8 46-50 1035.2 51-55 1100.2 56-60 1109.4 1209.8 76-80 1259.0 Temperature Table 2: The readings obtained for power consumption during the heating cycle of hollow insulators with the damper system IV. ENERGY SAVING ANALYSIS 6-10 71-75 Figure 6: The Temperature Required for Firing at Different Time Periods Observations Heating Cycle: Consider the below mentioned temperature table 1which gives data for firing of insulators at different time Periods. 11-15 1181.4 5 15 25 35 45 55 65 75 Advantages of VFD [5] 1. Bearing and winding life increases. 2. Smooth control of temperature, pressure and speed. 3. Maintenance and break down time decreases 1-5 1120.2 66-70 1400 1200 1000 800 600 400 200 0 Figure 5: Circuit Diagram of Variable Frequency Drive 61-65 Flow rate ( /hr) Hours 300 350 400 625 800 825 860 875 725 850 900 770 330 360 400 500 600 850 900 950 1060 1775 Total 19 2 14 2 2 2 2 2 2 5 2 2 2 2 2 2 2 2 3 2 2 2 77 With damper KW KWh 11.3 11.4 11.9 11.9 12 12.5 12.6 12.6 12.5 12.5 13.2 12 12 12.3 11.6 11.6 11.4 11.9 12.6 12.7 13.3 14.4 215.1 22.8 166.2 23.8 24 25 25.2 25.2 25 62.5 26.4 24 24 24.6 23.2 23.2 22.8 23.8 37.8 25.4 26.6 28.8 925.38 Table 3: The readings obtained for power consumption during the heating cycle of hollow insulators after installation of VFD International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Annapurna Birdar and Ravindra G. Patil Flow rate (m3/hr) Hours 300 90 will be quite large. Thus for the best energy conservation, the Variable Frequency Drives can be used. With VFD Speed Frequency KW KWh 19 840 14 4.14 78.8 350 2 1080 18 4.41 8.8 400 625 800 14 2 2 1320 1340 1410 22 22.3 23.5 4.8 5.57 6.09 67.1 11.1 12.1 825 860 875 725 850 900 770 330 360 400 2 2 2 2 5 2 2 2 2 2 1490 1560 1620 1680 1740 1800 1830 1845 1920 2010 24.8 27.5 27 28 29 30 30.5 30.75 32 33.5 6.14 6.55 6.59 6.14 6.48 6.97 6.02 4.55 4.8 4.69 12.8 13.1 12.2 12.3 32.4 13.9 12 9.1 9.6 9.4 500 600 850 900 950 1060 1775 Total 2 2 2 3 2 2 2 77 1845 1845 1830 1860 1950 2000 2040 30.75 30.75 30.5 31 32.5 33.3 34 5.04 5.26 6.17 6.65 6.83 7.41 9.51 10.1 10.5 12.3 20 13.7 14.8 19 416.3 250 Cost paid per unit of energy consumed for commercial purpose is Rs 6.25 Total cost saving per annum: 27995*6.25 = 1.75 Lakh Cost of VFD : 1.5 Lakh Simple payback period : 1 year Advantages of VFD System over Damper System 1. The method of firing the insulators became accurate 2. The temperature control of the firing chambers was easily done with the help of AC drives 3. Loss of energy of the dampers while firing the insulators was minimized 4. There was considerable increase in the production of the insulators as the number of fault pieces is minimized. 5. Increased efficiency With Damper 200 KWH Consumed Saving Calculation As already mentioned, the employment of VFDs result in considerable saving in energy for the industries and the payback period of the invested amount into the VFD is also very less. From the comparison of power consumption in between damper technique and the VFD system of speed control, the energy saving[1] per annum was calculated as below: Energy consumed (in KWh) with damper: 925.3 KWh Energy consumed (in KWh) with VFD: 416.3 KWh Difference in KWh per cycle : 925.3 – 416.3= 509 KWh No. of cycles per year : 55 KWh saving per annum : 55*509=27995 KWh With VFD 150 100 50 0 0 500 1000 1500 Flow rate Figure 7: The Comparison of KWH Consumed When Damper and VFD are Used The above graph infers that with the use of VFD, which controls the speed of air blower motor by varying the supply frequency and voltage, the power consumed by motor can be saved. As we know that the power consumed will be proportional to the cube of the motor speed, the power saved V. CONCLUSION The declining resources combined with environmental global warming concerns and increasing energy prices make energy efficiency a crucial objective. Furthermore, improving energy efficiency is often the cheapest, fastest and most environmentally friendly way to meet the world’s energy needs. [4] The paper is designed to highlight the use of VFDs for the control of air flow in the kiln used for firing of insulators by varying the supply frequency. Replacing the dampers by VFDs in the firing of insulators gives more accurate firing and reduces the cost of production of insulators. By the use of VFDs, loss of energy in damper operation can be minimized and man power is reduced. From the above estimation we can conclude that the efficiency is increased and energy can be conserved economically. REFERENCES [1] “Energy Conservation through the use of Variable Frequency Drive”-A Case Study at Tata Power Company Ltd, Mumbai, Pramod K. Sangale and Gaurav S. Tambe. [2] Toshiba VF-P7 drive manual. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Annapurna Birdar and Ravindra G. Patil 91 [3] “Standard Handbook for Electrical Engineers”, Fink and Beaty, 11th edition, McGrawHillpublications. [4] M. Benhaddadi, F. Landry, R. Houde, and G. Olivier, “Energy Efficiency Electric Premium Motor-Driven Systems”, 978-1-4673-1301-8/12/$31.00 ©2012 IEEE, International Symposium on Power Electronics, Electrical Drives, Automation and Motion [5] M.Veera Chary, N.Sreenivasulu, K.Nageswar Rao, D.Saibabu, “Energy Saving Through VFD’s for Fan Drives in Tobacco Threshing Plants”, 0-7803-5812-0/00/$10.00 ©2000 IEEE. Annapurna Biradar was born in Bijapur, Karnataka, India on 16 December 1988. She obtained B.E (Electrical and Electronics) from Visvesvaraya Technological University, Karnataka., India. She is currently perusing M.Tech Degree in Power and Energy Systems in Electrical and Electronics Engineering, Basaveshwar Engineering College, Bagalkot, India. Ravindra G Patil was born in Hampiholi of Ramdurg Tal, Karnataka, India on 1st April 1961. He obtained B.E (Electrical and Electronics) from Karnataka University, Dharwad, Karnataka India in 1984 and M.E from Jadhavpur University, Kolkata, West Bengal, India in 1993. His areas of interest include Power Electronics, Machines and Drives. Presently he is working as Associate Professor in the Department of Electrical & Electronics Engineering at Basaveshwar Engineering College, Bagalkot, India. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mrs. Hiral Raval Jani 92 Review Paper on Industrial Automation based on OpenCV Mrs. Hiral Raval Jani Abstract: As the name Industrial Automation based on OpenCV suggests that some kind of control in instruments/industrial machines is being done. OpenCV(Open Computer Vision) is the image processing library. We can write programs in any IDEs(Integrated Development Environments) in C/C++ language installing OpenCV library in it. Based on that image processing results we can control or automate industrial machines or any process in industries. We can choose any sequences for that. Keywords: Automation, IDE, Image Processing, Linux, OpenCV I.INTRODUCTION Fig.2. Block Diagram to implement in Windows O.S. Fig.1. Simple Block Diagram Here is the simple block diagram. First block shows any machine of industry. I have shown some industrial examples below. For data acquisition we can use any type of camera but for real time application USB webcam is the best where very high resolution is not much concern. For Image Analysis I have used Qt Creator IDE in Linux Ubuntu. After that we can install and include OpenCV library in Qt Creator. As a part of controlling action we can display message/ make alarm on for different kind of sequences. Then one can take actions manually. Another possibility is, halt in process by connecting hardware with Qt Creator. If we use Qt Creator in Windows Operating System, we can use proximity switch& PLC, and can give signal to stop machine in case of error. Block diagram of it given below. II.AUTOMATION Automation involves the monitoring of inputs and providing of outputs using the brain for processing the inputs and making the decision in achieving what is needed as an output. Automation gives more productivity, safety, improved plant performance. III.IMAGE PROCESSING Fig.3. Image Processing Understanding Mrs. Hiral Raval Jani is pursuing M.Tech I.C. 2013, D.D.I.T., Nadiad, Gujarat, India, Email: hir.hr.raval@gmail.com IV.EMBEDDED/ MACHINE VISION Embedded Vision refers to machines that understand their environment through visual means. Embedded vision is the merging of two technologies: embedded systems and computer vision (also sometimes referred to as machine vision). Computer vision is the use of digital processing and intelligent algorithms to interpret meaning from images or video. Computer vision has mainly been a field of academic research over the past several decades. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mrs. Hiral Raval Jani 93 V.OPENCV OpenCV is an open source computer vision library developed in C and C++. It is optimized and intended for real-time applications. It is independent of platforms and hardware, allows for generic loading, saving and acquisition of images and videos, and provides both low and high level APIs (Application Programming Interfaces). VI.LINUX Linux was originally developed as a free operating system for Intel x86-based personal computers. It has since been ported to more computer hardware platforms than any other operating system. It is a leading operating system on servers and other big iron systems such as mainframe computers and supercomputers: more than 90% of today's 500 fastest supercomputers run some variant of Linux. Linux also runs on embedded systems such as mobile phones, tablet computers, network routers, televisions and video game consoles; the Android system in wide use on mobile devices is built on the Linux kernel. Fig.5. Qt Creator Qt Designer is used to design the User Interfaces of your application. Even the Designer is integrated into Qt Creator. VII.UBUNTU Ubuntu is a computer operating system based on the Debian Linux distribution and distributed as free and open source software, using its own desktop environment. As of 2012, according to online surveys, Ubuntu is the most popular Linux distribution on desktop/laptop personal computers, and most Ubuntu coverage focuses on its use in that market. However, it is also popular on servers and for cloud computing. VIII.QT Fig.4. Qt Cycle Qt is a framework to create cross-platform applications. Using Qt one can create amazing GUI applications quickly and easily. Visual Studio and X code is used to create applications in Windows and Mac respectively. Qt is similar to these tools in that it helps you to design and code your application. But, the real advantage of Qt is that that your application can be made to run on Windows, Mac and Linux without you having to change your code. Qt Creator is the main IDE (Integrated Development Environment). Fig.6. Qt Designer Qt Linguist is a tool for aiding the translation of your application into various languages. Fig.7. Qt Linguist Qt Assistant is used for viewing the help files and documentation related to Qt. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Fig.8. Qt Assistant Using if conditions we can display message or Vol. 2, Issue. 1, April-2013. Mrs. Hiral Raval Jani 94 play sound if error occurred. For sound we can use: Qsound :: play(“file loacation.wav ”); Before that we need to install and add various libraries regarding sound in Qt Creator. a. IX.EXAMPLES CNC lathe auto loader Here we can continuously detect object and can say if object is present or absent. Fig.11 (b). Plastic Injection molding machine open with pieces eject in clamp unit b. CNC router Fig.9. CNC lathe with auto loader Fig.11 (c). Plastic Injection molding machine closed c. Fig.10. CNC Router We can show edges of work piece and calculate angle in accordance with x, y positions. Plastic Injection Molding Machine Monitoring of pieces in molding machine can be done by continuous tracking. Fig.12 (a). Another Plastic Injection molding machine open with pieces showing reference and template Fig.12 (b). Plastic Injection molding machine open with pieces showing result Fig.11 (a). Plastic Injection molding machine open with pieces X.CONCLUSION These are only examples. Image Processing is very vast so we can use it on multiple machines and in multiple ways. I have opted Linux Operating System, Qt Creator, OpenCV even though other software like MATLAB, LabView are available, as software cost matters. Implementing Embedded Vision is challenging as there is limited experience in building practical solutions. Generally image processing based companies are from International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mrs. Hiral Raval Jani 95 abroad, if we are successful in such kind of applications, it will be more beneficial. This is futuristic technique. It will going to be deployed much, like the way wireless technologies are now taking place. ACKNOWLEDGMENT I would like to thank you for the valuable guidance of my Internal Guide Prof. S.S.Bhavsar and External Guide Er. Mahesh Vyas. [1] REFERENCES An Introduction to the Linux Command Shell For Beginners by Victor Gedris In Co-Operation With The Ottawa Canada Linux Users Group an ExitCertified [2] Basic Linux Commands by Srihari Kalgi, M.Tech, CSE (KReSIT), IIT Bombay May 5, 2009 [3] Open Source Computer Vision Library Reference Manual Copyright © 1999 -2001 Intel Corporation All Rights Reserved Issued in U.S.A. [4] OpenCV Reference Manual v2.1, March 18, 2010 [5] Qt Tools Overview by Thomas Strehl 29.10.2009 [6] Getting started with Qt (http://qt.nokia.com/developer/getting-started/gettingstarted) [7] Get started with Qt GUI Programming By Suvish V.T. [8] Lectures on Image Processing, by Alan Peters. Vanderbilt University. Updated 15 September 2011. [9] Fundamentals of Embedded Computer Vision: Creating Machines That See by Eric Gregori Senior Software Engineer/Embedded Vision Specialist, BDTI, September 13, 2012 [10] Wikipedia [11] Electronics for you, august 2012 [12] Webinar on www.designnews.com International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Manish Raval and Ved Vyas Dwivedi 96 Commencing the FACTS in Variable Energy Sources Network to Optimize Existing Transmission System with Stability Manish Raval and Ved Vyas Dwivedi Abstract: Growing concern for the environmental degradation has led to the world’s interest in renewable energy resources. Due to the beneficiary policy, variable wind, solar and hydro generation is gradually increased in the world. The big mass of variable generation is creating fluctuation in voltage, frequency and power factor of grid network and it led to the instability in the existing grid system of utility and also create the power evacuation problem. To compensate the above problems the grid networks requires a careful design to maintain the system with continuous power flow operation without any limitations as well as optimization of existing transmission system. The focus of this research paper is to commence the FACTS (Flexible A.C. Transmission System) to control the power flow of the unbalanced transmission network due to impose of power from variable generating system. This project proposes a case study to control the power flow of power system with UPFC. In this study 5-Bus network system has selected and simulation has done with and without the UPFC to measure the power flow of the network. With the use of UPFC the power of overloaded transmission network regulated with good voltage profile and avoids the evacuation problem. This system is costlier and complex as compare to static voltage regulating system. Indexing words: Grid, Unified power flow controller, Load flow, Voltage Regulation 1. INTRODUCTION: Grid connectively and transmission constants have often been cited as key constants in wind energy development in the country if the target of the National action plan on climate change of achieving 15 percent power generation through renewable energy sources by 2020 is to be met the country needs to add 25000 MW of wind power capacity. Though the Government has put in place the required policy support to attract and encourage investor, unless issues related to grid integration of wind power are sorted out this target will remain more wishful linking. At present, potential sites across the country remain undeveloped as evacuation of power is technically not feasible due to saturation of the local transmission system. Grid saturation has also resulted in the loss of several MUs of power from existing wind farms as grid managers impose back down instructions every time power intake from other sources increases. Grid managers instead of balancing the different elements (including wind) in the increasingly complex national grids, real wind as a risk to grid security. Erratic grid availability has become a bigger cause for concern for developers in recent times, especially because of the newly introduced generation-based incentives and renewable energy certificates. The benefits from which are entirely dependent on the power feel in to the grid. Connectivity challenges for new farms:Evacuation of power is one of the basic investment decision criteria for wind power developers as the majority of high wind potential sites are located in remote areas. These areas, which have the potential for setting up large wind projects of 100-200MW, usually have low transmission capacity of about 20 MW. It is because of this scenario that developers face what Jami Hossain, Chief Member and Co-founder wind farm management services calls “chicken and eggs: situation while planning large wind farms for example, a given site may have excellent wind potential but may have poor grid infrastructure, investments in planning and land procurement risky. Wind energy developers are also at a disadvantage when it comes to bearing the construction cost of evacuation infrastructure. Unlike conventional energy projects where the cost is usually born by the transmission or distribution companies. Manish Raval is a 1Ph.D Scholar (Electrical Engg.), Department of Engineering, Pacific University, Udaipur, Rajasthan-INDIA, E-mail: manishraval_aei@yahoo.co.in, and Ved Vyas Dwivedi is Director, Noble Group of Institutions – Junagadh, Gujarat – INDIA, Tel: +91-2691 030521; Fax: +91-2691 034520; E-mail: director.principal.ngi@gmail.com The Mandavising author of article in renewable source [1] mentioned that the intermittent nature of wind power, Solar power and hydro power (variable source) are major cause for concern for grid managers as it leads to a low and International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Manish Raval and Ved Vyas Dwivedi unpredictable plant load factor, which upsets the voltage profile of the grid and also discussed about the evacuation problems for wind energy and solar energy development in India. The technology of power system utilities around the world has rapidly evolved with considerable changes in the technology along with improvements in power system structures and operation. At the same time building of the new transmission circuits is becoming more difficult because of economic and environmental reasons and Wright of Way problems. Therefore, power utilities are forced to utilize existing system without spending extra expenditure. However, stability has to be maintained at all times. Hence, in order to operate power system effectively, without reduction in the system security and quality of supply, even in the case of contingency conditions such as loss of transmission lines and/or generating units, a new control strategies need to be implemented. In present day highly complex and interconnected power systems, need to improve electric power utilization with maintaining reliability and security. Available power generation, usually not situated near a growing load center, is subject to maintain economical and environmental and power evacuation issues. In order to meet the increasing power demand, utilities prefer to rely on already existing generation and power transferring arrangements instead of building new transmission lines that are subject to environmental and economic issues. [1]. On the other hand, power flows in some of the transmission lines are below their thermal limits, while some lines are overloaded, which has as an overall negative effect on voltage profiles and decreasing system stability and security. In addition, existing traditional transmission facilities, in most cases, are not designed to handle the control requirements of complex, highly interconnected power systems. This overall situation requires the review of traditional transmission methods and practices, and the creation of new concepts which would allow the use of existing generation and transmission lines up to their full capabilities without reduction in system stability and security. Another reason that is forcing there view of traditional transmission methods is the tendency of modern power systems to follow the changes in today's global economy that are leading to deregulation of electrical power markets in order to stimulate competition between utilities [1]. Commencement of Flexible A.C. transmission system creates a tremendous quality impact on power system stability. These features become even more significant knowing that the UPFC can allow loading of the transmission lines close to their thermal limits, forcing the power to flow through the desired paths. This will give the power system operators much needed flexibility in order to satisfy the demands that will impose the deregulated power system. 97 This project proposes a case study to control the power flow of a power system with UPFC. In this study, a 5-Bus network for the analysis with and without the UPFC has been studied and presented. Literature Survey Many articles, journals and IEEE papers are found for UPFC operation, modeling and control. The UPFC which was proposed by [2], outlines the technical and economic factors which characterize the uniform, all solid-state power-flow controller approach for real-time controlled, flexible AC transmission systems. The unified power-flow controller in its general form can provide simultaneous, real-time control of all basic power system parameters (transmission voltage, impedance, and phase angle), or any combinations thereof, determining the transmitted power. The [3] had proposed the Unified Power Flow Controller (UPFC) for controlling power flow in modern power systems. Essentially, the performance depends on proper control setting achievable through a power flow analysis program. This paper aims to present a reliable method to meet the requirements by developing a Newton-Raphson based load flow calculation program through which control setting of UPFC can be determined directly. The [4-5] presented their research work with digital simulation of 14-bus power system using UPFC to improve the power quality. The UPFC is also capable of improving transient stability in a power system. It is the most complex power electronics system for controlling the power flow in an electrical power system. The [6] simulated IEEE 5- bus system using MATLAB Simulink to do the load flow analysis of the system. In this paper the author shows that with use of UPFC the power transfer capability of the same system can improve. While the [7]shows that shunt FACTS devices plays a very important role in controlling the reactive power flow when placed at the midpoint of a long transmission line. It also affects the system voltage regulation and transient stability of the system. Author also analyzed when transient fault occurs in the system FACTS devices connected to the system becomes important part for transient stability. 2. Flexible A.C. Transmission Alternating current transmission system incorporating power electronic-based and other static controllers to enhance controllability and increase power transfer capability. Flexibility of Electric Power Transmission: The ability to accommodate changes in the electric transmission system or operating conditions while maintaining sufficient steadystate and transient margins [8]. FACTS Controller: FACTS controller are the power electronic-based system and other static equipment that International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Manish Raval and Ved Vyas Dwivedi provide control of one or more AC transmission system parameters. The controllers that are designed based on the concept of FACTS technology to improve the power flow control; stability and reliability are known as FACTS controllers. These controllers were introduced depending on the type of power system problems. Some of these controllers were capable of addressing multiple problems in a power system but some are limited to solve for a particular problem. All these controllers grouped together as a family of FACTS controllers categorized as follows as shown in figure1. First Generation of FACTS Controllers: Static VAR Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) Second Generation of FACTS Controllers: Static Synchronous Series Compensator (SSSC) and Static Synchronous Compensator (STATCOM) Third Generation of FACTS Controllers. The third generation of FACTS controllers is designed by combining the features of previous generation’s series and shunt compensation FACTS controllers. : Unified Power Flow Controller (UPFC) and Interline Power Flow Controller (IPFC) are third generation FACT Controllers. They are discussed as below. 98 voltage magnitude and phase angle in series with the line to control the active and reactive power flows on the transmission line. Hence the series converter will exchange active and reactive power with the line. Fig.2 Unified Power Flow Controller (UPFC) [8]. Characteristic of UPFC: The concept of UPFC makes it possible to handle practically all the power flow control and transmission lines compensation problems using solid-state controllers that provide functional flexibility which are generally not obtained by Thyristor-controlled controllers. Interline Power Flow Controller (IPFC): Its design is based on Convertible Static Compensator (CSC) of FACTS Controllers. As shown in Figure 3, IPFC consists of two series connected converters with two transmission lines. It is a device that provides a comprehensive power flow control for a multi-line transmission system and consists of multiple number of DC to AC converters, each providing a series compensation for a different transmission line. The converters are linked together to their DC terminals and connected to the AC systems through their series coupling transformers. With this arrangement, it provides series reactive compensation in addition any converter can be controlled to supply active power to the common dc link from its own transmission line [9]. Fig.1 Block Diagram of FACTS Controllers [8]. Unified Power Flow Controller (UPFC): It is designed by combining the series compensator (SSSC) and shunt compensator (STATCOM) coupled with a common DC capacitor. It provides the ability to simultaneously control all the transmission parameters of power systems, i.e. voltage, impedance and phase angle.As shown in Figure 2. it consists of two converters – one connected in series with the transmission line through a series inserted transformer and the other one connected in shunt with the transmission line through a shunt transformer. The DC terminal of the two converters is connected together with a DC capacitor. The series converter control to inject International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Manish Raval and Ved Vyas Dwivedi Fig. 3 Interline Power Flow Controller [9] 99 Characteristics of IPFC: To avoid the control of power flow problem in one system with synchronization of power in other system, installation of IPFC with parallel inverter is required to meet the active power demand. The UPFC concept was proposed by Gyugyi in 1992 [2] within the concept of using converter based FACTS technology. It consists of two voltage source inverter connected back to back through a common DC link, as illustrated in fig 4. This arrangement function as an ideal AC to AC power converter in which the real power can freely flow in either direction between the AC sides of the two inverters. The reactive power on the two AC sides of the inverters can be controlled independently. Advantages of FACTS controllers [8] Power Quality and Reliability: Modern power industries demand for the high quality of electricity in a reliable manner with no interruptions in power supply including constant voltage and frequency. The change in voltage drops, frequency variations or the loss of supply can lead to interruptions with high economic losses. Installation of FACTS device at the distribution system without increasing the short circuit current level considerably increases the reliability for the consumer. The series inverter (inverter 2) is connected to the transmission line through a series (booster) transformer in a manner similar to the SSSC. The shunt inverter is connected to the system bus through an shunt (excitation) transformer in same way as an Advanced Static VAR Compensator (ASVC). Therefore, the UPFC can be considered as a multifunction controller which is capable of providing the performance of one or two FACTS devices. Because of its structure, the UPFC provides new dimensions of controllability, which have not been achieved with other FACTS controllers. Power system stability: Instabilities in power system are created due to long length of the transmission lines, interconnected grid, changing system loads and line faults in the system. These instabilities results in reduced transmission line flows or even tripping of the transmission. FACTS devices stabilize transmission systems with increased transfer capability and reduced risk of transmission line trips. Flexibility: The construction of new transmission lines take several years but the installation of FACTS controllers in a power system requires only 12 to 18 months. It has the flexibility for future upgrades and requires small land area. Environmental Benefits: Construction of new transmission line has negative impact on the economical and environmental factors. Installation of FACTS devices in the existing transmission lines makes the system more economical by reducing the need for additional transmission lines. Reduced maintenance cost: Maintenance cost of FACTS controllers are less compared to the installation of new transmission lines. As the number of transmission line increases, probability of fault occurring in a line also increases resulting in system failure. By utilizing the FACTS controllers in a transmission network, power system minimizes the number of line faults thus reducing the maintenance cost. UPFC Basic Principle and Operation Modes The Unified Power Flow Controller (UPFC) is a multifunction controller which can play an important role in solving various transmission systems problems. Fig. 5 Schematic diagram of a UPFC system [9] Principles of Operation [9] SSSC part of the UPFC performs the main function of the UPFC by injecting a voltage Vser in series with the transmission line. The injected voltage can be controlled with theoretically little restrictions/ that is, the phase angle of Vser can be controlled independently of the line current between 0 and 2 , and the magnitude is ranging from zero to predefined maximum value. This maximum value is determined by the VA rating of the UPFC series inverter. In the transmission line current flows through the injected voltage resulting in active and reactive exchange between the series inverter and the AC system. The real power measured at the inverter output is supplied or absorbed by the DC link side. The reactive power is generated or absorbed internally between phases connected by the inverter switches. As the magnitude and phase angle of the series inverter injected voltage is fully controllable, it can be used to achieve different conventional compensation e.g. voltage regulation, series compensation or phase angle regulation. Construction of the UPFC International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Manish Raval and Ved Vyas Dwivedi Inverter 1 (the exciter) which is connected in shunt with the AC system is used essentially to provide the active power demand of the series inverter at the common DC link. As inverter 1 is a voltage source (viewed from the system), it can generate or absorb reactive power at the connection point. Such reactive power is independent of both the reactive power generated by the series inverter and the active power through the DC link. Therefore, the shunt inverter can fulfill the function of the ASVC in providing reactive power compensation at the system bus bar and at the same time performing an indirect DC voltage regulation within the UPFC. Modes of operation Conventional power transmission systems employ shunt compensation, series compensation and phase angle regulation. The UPFC can fulfill all these functions and thereby meet multiple control objectives by an appropriate choice of the injected voltage magnitude and angle, as illustrated in the diagram given in figure 6. Therefore, there are different modes of operation for each of the inverters comprising the UPFC depending on the available local reference signals. The UPFC global controller needs to be able to switch between these modes according to the system requirements. 100 angle with reference to the voltage of the system bus at which the UPFC is connected. Voltage regulation mode The series converter simply generates the voltage vector Vser with the magnitude and phase angle requested by the reference input as shown in fig.7. These operating modes may be advantageous when a separate system optimization control coordinates the operation of the UPFC and other FACTS controller employed in transmission system. Fig.7 UPFC working as a voltage regulator [11] Phase angle regulation mode The injected voltage vector Vseris controlled with respect to the input bus voltage vector V1so that the output bus voltage vector V2is phase shifted relative to V1by an angle specified by the reference input as shown in figure 8. Fig.8UPFC working as a phase angle regulator/shifter [11] Fig. 6 UPFC modes of operation [9] Series inverter Modes of operation Operation of the series inverter is divided into different modes with distinctive characteristics. These modes are dependent on the reference signal used to derive the magnitude and phase angle of the injected voltage. In power systems the local reference signals normally available are the line current and the system bus voltage. These two signals are recommended by many power systems researchers [10] to be the reference signals for UPFC control variables. System voltage as a reference In these modes, the series inverter generates a voltage vector, which is controlled in both magnitude and phase- Line current as a reference In these modes the injected voltage generated by the series inverter is determined by the transmission line current. Line resistive compensation In this mode, the injected voltage is maintained to be in-phase with the line current in order to compensate the transmission line voltage drop. The key point of such a compensation scheme is to keep the transmission system X/R ratio within an acceptable range based on the line voltage rating. Line reactive compensation Magnitude of the injected voltage vector Vser is controlled in proportion to the magnitude of the line current I, so that the series insertion emulates reactive impedance when viewed International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Manish Raval and Ved Vyas Dwivedi 101 from the line. The desired impedance is specified by reference input and in general it may be complex impedance with resistive components of either polarity. When the injected voltage is kept in quadrature with respect to the line, current to emulate purely reactive (capacitive or inductive) compensation. This operating mode matches with series compensation in the system like SSSC and TCSC. for the series inverter. This mode of operation is quoted as “Bus Voltage Control Mode. Power flow mode The unified power flow control approach (series inverter) can be broadening the basic power transmission concepts. It is possible to implement the individual compensation scheme discussed above but also a combine or real time transition from one mode of operation to another and in order to handle particular system contingencies, more effectively than the other single function FACTS controllers. Fig.10 Shunt Inverter in "Voltage Control Mode" [11] In theory, the UPFC may be used to maintain a prescribed and independently controllable real and reactive power flow in a certain transmission corridor. In this case, the injected voltage Vser is stipulated to have no phase angle restriction and its magnitude is variable between zero and a maximum permissible value. In practice, the UPFC may be used to maintain or vary the active and reactive power flow in a transmission system within a specific margin. The operating point can be anywhere inside a circle with a radius |Vsermax|, as shown in figure 9. The particular, but more general, mode of operation has been chosen in this work to analyze the capabilities of the UPFC to control the system power flow. The quadrature component is responsible for the exchange of reactive power with the AC system. This in turn supports the reactive power in the transmission system irrespective of the variation of the bus voltage. Shunt inverter current as a reference When the current is used as a reference signal, the inverter output voltage may be divided into two perpendicular components. The in-phase component will allow the shunt inverter to exchange real power with the DC link and provide for the power losses. (3) Simulation And Results of Test Case, 5-Bus System Here for simulation work IEEE 5-bus system is chosen. In this the UPFC is connected at bus 3. The simulation is done for load flow analysis for without / with UPFC connected to Fig. 9 UPFC in the power flow mode [11] Shunt inverter modes of operation The shunt inverter is operated to absorb or generate certain amount of reactive power from/to the AC system. In addition, it provides the real power demand of the series inverter and power losses. Similar to the series, the shunt inverter modes of operation are dependent on the reference signal used to derive the magnitude and angle of the inverter output voltage. System bus voltage as a reference The inverter output (Vsh) may be split into two components (Vpand Vq) with respect to the AC system bus voltage (V1) at which the UPFC is connected, as shown in fig. 10. The in-phase component may be used to control the system bus voltage in order to immune the controlled transmission line from the changes within the rest of the network. system. Fig 11 One line diagram of 500/230 kV Transmission System [12] A UPFC is used to control the power flow in a 500 KV /230 KV transmission systems. The system, connected in a loop configuration, consists essentially of five buses (B1 to B5) interconnected through three transmission lines (L1, L2, L3) and two 500 kV/230 kV transformer banks Tr1 and Tr2. Two power plants located on the 230KV system generate a total of 1500 MW which is transmitted to a 500 KV, 15000 MVA equivalent and to a 200 MW load connected at bus B3 as shown in fig.11. The quadrature component allows the shunt inverter to exchange real power with the AC system which is required International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Manish Raval and Ved Vyas Dwivedi 102 Simulation for without UPFC system Fig. 13 Simulation with UPFC Fig. 12. Simulation without UPFC [12] As shown in figure 12, in the normal operation, most of the 1200 MW generation capacity of power plant 2 is exported to the 500 KV equivalents through 800 MVA transformer connected between buses B4 and B5. The load flow shows that most of the power generated by plant 2 is transmitted through the 800 MVA transformer bank (925 MW out of 1000 MW). Transformer Tr-2 is therefore overloaded by 125 MVA. This will now illustrate how a UPFC can relieve this power congestion. As shown in figure13, the UPFC located at the right end of line L2 is used to control the active and reactive powers at the 500 KV bus B3, as well as the voltage at bus B_UPFC. The UPFC consists of two 100 MVA, IGBT-based, converters (one shunt converter and one series converter interconnected through a DC bus). The series converter can inject a maximum of 10% of nominal line-to-ground voltage in series with line L2. In this simulation model the Power data parameters that the series converter is rated 100 MVA with a maximum voltage injection of 0.1 pu. The shunt converter is also rated 100 MVA. Also in the control parameters, that the shunt converter is in Voltage regulation mode and that the series converter is in Power flow control mode. Results for 5-Bus system Table 1 Results for 5-bus system without UPFC Voltage (pu) 0.997 0.9996 0.9996 0.9911 0.9974 Active (MW) 68.27 563 560.4 925.7 1280 Power Reactive (MVAr) -12.25 -59.16 -21.45 24.92 -110.5 Power Table 2 Results for 5-bus system with UPFC Voltage (pu) 0.9982 1.004 1 0.9923 0.9981 Active (MW) 152.1 645.4 643 840.8 12780 Power Reactive (MVAr) -26.33 -95.18 -27 15.75 -100.8 Power Table -1 shows that when UPFC is not connected in the network, the actual active power flow is 68.27MW and reactive power is -12.25 MVAr and voltage is 0.997 p.u. After installation of UPFC at BUS B3, power flow from the trf.2 will increase from 68.27MW to 152 MW with decreasing of reactive power from -12.25MVAr to -26.33 MVAr with improving of voltage from 0.997 p.u.to 0.9982 p.u as shown in Table 2. In order the power flow will be shared in the line -1, line-2 and line-3 with decrease in overloading of Trf.2 (as results no.4 of table-1 &2), and with improvement of voltage and decreasing of reactive power. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Manish Raval and Ved Vyas Dwivedi In test case we can see that the UPFC improves the voltage level of the system buses and also the voltage angle of the receiving end bus. So we can say that with help of UPFC connected to the power system the overall performance of the system improves. After connection of UPFC in the substation, the power flow will be regulated and overloading of the existing line will be shared with other unloaded line means load distributed on the other connected network, therefore without erecting new transmission line we can use existing infrastructure with installation of UPFC. Conclusion The test results show that the use of FACTS system in the variable power flow transmission system maintain and improve the power system operation, stability, and optimum control of power flow increases the efficiency of transmission network. The use of flexible transmission system in the variable sources grid network balance the system demand as well as optimize the existing transmission system by unified power flow controller which provides simultaneous or individual control of basic system parameters like transmission voltage, impedance and phase angle there by controlling the transmitted power. If the UPFC is not connected in the network, the over loading on line resulted in erection of new electrical line and substation to full fill the system requirement But with the incorporation of UPFC the power flow will be regulated and the existing line will be used to fulfill the requirement of network and remove the problem of evacuation of power. The unscheduled interchange mechanism also needs to be reviewed and frequency control through this mechanism can perhaps be phased out and replaced by ancillary services. The load dispatch centers need to be empowered so they can take autonomous decisions relating to operation and security of the grid. The role of technology in system maintenance and up gradation is also important. Transmission planning criteria need to be reviewed in light of the growing complexity of the system. Then latter has made the system vulnerable to cyber attacks, necessitating appropriate solutions to be put in place. The cost of UPFC is very much higher than other static reactive power regulators and it is mostly suitable for more than 220KV electrical system. Acknowledgement: The authors express their gratitude to Gujarat energy Transmission Company and Chief Electrical Inspectorate Department of Gujarat to give technical support for the collection of data and measurements. References [1] Mandavising,Grid Gap,Evacuation concept for Wind ProjectReneable watch,May 2011 and R.Billinton,L.Salvaderi,J.D.McCalley,H.Chao,The eitz,R.N.Allan,J.Odom,C.Fallon,”Reliability Issues In Today’s Electric Power Utility Environment”,IEEE Transaction on Power Systems,Vol.12,No.4,November 1997. 103 [2] L. Gyugyi, “Unified power flow concept for flexible ac transmission systems,” IEE Proceedings-C, Vol. 139, Issue 4. pp 323-331,1992. [3] Ch. Chengaiah, G. V. Marutheswar and R. V. S. Satyanarayana, “Control Setting Of Unified Power Flow Controller Through Load Flow Calculation,” ARPN Journal of Engineering and Applied Sciences, Vol.3, No.6, Dec 2008. [4] S. Muthukrishnan and A. Nirmalkumar “Enhancement of Power Quality in 14 Bus System using UPFC,” Research Journal of Applied Sciences, Engg and Tech, 356-361, 2010. [5] S.Muthukrishnan and Dr. A. Nirmal Kumar, “Comparison of Simulation and ExperimentalResults of UPFC used for Power Quality Improvement,” International J of Computer and Electrical Engg, Vol. 2, No. 3, pp.1793-8163, June, 2010. [6] V. Gupta, “Study and Effects of UPFC and its Control System for Power Flow Control and Voltage Injection in a Power System”, International Journal of Engineering Science and Technology, Vol. 2(7), 2010, pp. 2558-2566. [7] S. Panda, R, N. Patel, “Improving Power System Transient StabilityWith An Off–Centre Location Of Shunt Facts Devices”, Journal of ELECTRICAL ENGINEERING, Vol. 57, No. 6, 2006, pp. 365-368. [8] N. G. Hingorani, “Flexible AC transmission”, IEEE Spectrum, pp. 40-45, April 1993. [9] M. H. Haque, “Application of UPFC to Enhance Transient Stability Limit”, IEEE. [10]M.Noroozain,L.Angquist,M.Ghandhari,G.Andersson,”Use of UPFC for Optimal Power Control”IEEE Transactions on Power Delovery,Vol.12,No.4,Oct.1997. [11]Claudio A.Canizares,Edvina Uzunovic,John Reeve,’Transient Stability and Power Flow model of UPFC for Various Control Strategies’,International J Energy Tech Policy, 2005. [12] S.Tara Kalyani,G.Tulasiram Das,”Simulation of Real and Reactive Power Flow Control with UPFC connected to A Tx’ne”, J of Theorotical Applied Information Tech,2008. [13] Manish Raval, Ved Vyas Dwivedi, ‘Analytical Investigations on Balancing the Electrical Grid Systems with the Injection of Variable Wind Generation in Gujarat State – India’ Inventi Impact: Energy and Power vol. 2012, Issue-3 on 15/7/2012, www.inventi.in Manishkumar N. Raval is a B.E. and M.E. Electrical Engineering, and pursuing his Ph.D. (in Electrical engineering) from Department of Engineering, Pacific University, Udaipur, Rajasthan, India under the guidance of Professor (Dr) Ved Vyas Dwivedi is Director, Noble Group of Institutions, Junagadh, Gujarat, (India). He is currently working as Assistant lectrical Inspector, under the Electrical Inspectorate, Government of Gujarat. He has participated in many conferences and seminars. He has worked for the statutory requirements of Electricity laws and Rules prevailing in the State under the Departmental activities. His field of interest and research are in Renewable energy sources, Load flow studies, Power Quality and Load Side Management. Professor (Dr) Ved Vyas Dwivedi is a B.E., M.E., and Ph.D., worked with Tata Chemicals Ltd., Elecon Engg. Co. Ltd. and Valcan Engg. Co. Ltd. in various capacities starting International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Manish Raval and Ved Vyas Dwivedi 104 from G.E.T., Jr Engr, and Sr R & D Engr., in CIT Changa and Charusat as Assist. and Assoc. Prof. and is currently working as Professor (Gujarat Technological Univ.) and Director (Noble Group of Institutions - Junagadh. He is life member of IETE, IE, ISTE and member IEEE & MTT-S (2003, '04, '09, '10). He has been offering his services as reviewer of various national and international Journals such as Doves - Journal of Nano technology and Sciences, Journal of Computer Engineering, Journal of Electronics researches, and reviewer of various international and national conferences sponsored by IEEE, IETE and IE. He is guiding seven Ph D candidates and has guided 32 M. Tech. dissertations. He has published 54 Journal papers and 42 Conference papers. He has co-authored 06 books in engineering & technology and co-chair of Junagadh-GTU Innovation Sankul. He has filed 03 patents and is recipient of four awards for excellene in education and service to the professional education system. His Fields of interest and research are wireless-optical-mobile-satellite communication, radar -microwave-electromagnetic-antennaRF and Metamaterials, conventional/non conventional energy generation-conservation-application engineering. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P.Pugazhendiran, M.Sujith and Dr.S.S.Jayachandran 105 Matlab Based HVCT Fault Analysis P.Pugazhendiran, M.Sujith and Dr.S.S.Jayachandran Abstract- The ageing and deterioration of insulation in high voltage (HV) plants have been a source of concerns to utilities. Breakdown of insulation leads to failures of HV equipment. The ageing and eventual failure of insulation in a high voltage current transformer (HVCT) is the subject of investigation in this paper. A lumped parameter model of HVCT is developed. This model is used to study the influence of deteriorating and failed insulation on the state variables of the HVCT. Some possible scenarios that could lead to a CT failure are investigated in this paper. For all the scenarios considered, steady and transient equations relating the state variables of the model have been developed and analyzed. The objectives of these analyses are to establish the behavioral characteristics of the state variables, establish the interactions between these variables, and investigate the possible generations of harmonics under the various scenarios of deteriorating and outright failure of insulation in the CT. The paper concludes with a discussion of the results obtained. Keywords: Current Transformer , High Voltage , Insulation. I.INTRODUCTION High voltage bushings and current transformers are among the most vulnerable power systems equipment because they are subjected to high dielectric and thermal stresses sudden failure of a current transformer in the transmission substation can cost a utility in excess of hundred thousands of dollars in damage and loss of revenue. This cost alone is for putting the system back to normal. It excludes cost suffered by customer due to power loss and production lost in some instances. The failure pattern of current transformers in HV substations has generally been violent, catastrophic and in some instances near fatal. The nature of these failures makes it difficult in most cases for a post-mortem technical investigation to determine the root cause of the failure. Therefore, in general, the phenomenon and processes leading to this rather violent and sudden failure of HVCTs are still not clearly understood. P.Pugazhendiran and M.Sujith are with Department of Electrical and Electronics Engineering, IFET College of Engineering, Villupuram-605108, Tamilnadu, India and Dr.S.S.Jayachandran working as Principal, IFET College of Engineering,Villupuram-605108, Tamilnadu, India, Emails: pugazhifet@gmail.com, sujiifet@yahoo.in, ssjifet@gmail.com Table 1: Failure Modes of CTs Failure mode Cause Number Insulation failure Single phase faulted Unknown Pre-energization Star point fault Tank rupture unspecified unspecified unspecified unspecified unspecified unspecified 24 58 6 2 1 1 And investigation of the modes of failure revealed, as shown in table 1, that the most common mode is when one of CT's Phases has failed. Even then the root or primary cause of failure could be anything, but it is suspected in most cases to be insulation failure because the CTs were usually so badly damaged this could not be ascertained. It is believed that the processes leading to a total failure of this equipment is complex. Failure could have started with a gradual but progressive deterioration of insulation at any part of the device. The failure of insulation at a sport in the device could then initiate the cascading of other insulation failures culminating in concurrent failures of insulation at several parts of the device, resulting thus in the complete failure of the equipment. In an effort to seek solution to this problem of HVCT failures this paper focuses on investigating the root ageing and eventual failure of insulation at a location in a high voltage current transformer (HVCT). A lumped parameter model of HVCT is developed. This model is used to study the influence of deteriorating and failed insulation at a particular location on the state variables of the HVCT. Root deterioration and failure of insulation is possible at several parts of the equipment. This paper first investigates insulation deterioration and failure within the primary winding. It then considers deterioration and failure of insulation between any sport on the primary winding and the ground. For all the scenarios considered, steady and transient equations relating the state variables of the model have been developed and analyzed. The objectives of these analyses are to establish the behavioral characteristics of the state variables, establish the interaction between these variables, and investigate the possible generations of harmonics under the various scenarios of deteriorating and outright failure of insulation in the CT. The paper concludes with a discussion of the results obtained. II. THE MODEL DEVELOPMENT Figure shows is the developed model for the CT in figure with all quantities and parameters referred to the primary. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P.Pugazhendiran, M.Sujith and Dr.S.S.Jayachandran 106 The insulator is modeled as a parallel combination of resistance and capacitance because it is regarded as its practical representation (2) Where Rp is the primary winding resistance and Xp is the primary winding leakage reactance. The insulation impedance may be expressed by: (3) Where Rins is the insulation resistance and Cins is the insulation capacitance. Fig.1. Eventual Failure of Primary Winding The current through the secondary winding and the burden may be expressed as: (4) The magnetizing current may thus be written as: Fig.2. Breakdown Failure of Primary Winding and ground A perfect insulation will be an open circuit, while a short circuit is an indication of failure. The insulation deterioration and its eventual failure within the primary winding is shown in Figure 1. while the deterioration and eventual failure of insulation between the primary winding and ground is reflected in Figure 2.Breakdown voltage is a function of the current flowing through the insulation. Therefore, it is depicted by a current controlled voltage source. The current to be transformed is depicted as the current source Isource in the primary side of the circuit model. This is the current flowing through the primary winding. A fraction (n < 1) of the primary winding Zp is separated from the rest by the location of the insulation failure on the primary winding. The magnetizing windings which link primary and secondary windings are represented by parallel Combination of magnetizing resistance (Rm) and inductance (Lm). The secondary winding of the CT is represented by a resistance (Rs) and a leakage inductance (Ls). The CT burden in the secondary is represented by the resistance (R b) in series with an inductance (Lb). III STEADY STATE EQUATIONS (5) Where Zm is the magnetizing impedance, expressed as: (6) And Zsb is the series combination of secondary winding and the burden impedances. (7) (B) Primary winding insulation failure to ground – Breakdown Voltage ignored The steady state equations governing the model in figure 2 with the breakdown voltage ignored are: (8) Where Zeq is the equivalent impedance of secondary, burden, magnetizing and primary windings given as (A) Insulation Failure within the Primary Winding (9) The steady state equations governing the model of Fig 1are: (10) (1) Where Iins is the current leaking through an imperfect or deteriorating insulation, Isource is the source current and Zp is the primary winding impedance. (11) Inp is the current flow as indicated in figure 2(b), International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. P.Pugazhendiran, M.Sujith and Dr.S.S.Jayachandran 107 (12) (C) Primary winding insulation failure to ground with Breakdown Voltage Using superposition principle the relevant steady state equations for Figure 2 can be obtained as below. Subscript 1 is for contribution when the current source is open-circuited, while subscript 2 denotes quantities contributed when the voltage source is short-circuited. Fig 3 (a) (13) If the high voltage rating of the primary winding is Vprimary. Then the breakdown voltage is (14) Iins-max is the maximum insulation current is possible which will be Isource. (15) Where Inp1 and Inp2 are the current through nZp. Fig 3 (b) (16) Fig 3:Results of the analysis of insulation breakdown within primary winding only IV ANALYSIS AND RESULTS (A) Insulation Breakdown within Primary Windings only With the aid of Matlab the steady-state equations in the previous section were solved to obtain the variation of some key quantities with changing state of inter-primary winding insulation as shown in Figures 3(a),3(b)The variation of insulation current with the insulation resistance and capacitance are as in Figures 3(a) and 3(b) respectively. For each figure, one of the insulation parameters was kept constant at an assumed value, while the other was varied. The family of curve displayed is as a result of varying n, which depicts the position of deteriorating/failing insulation along the primary winding. Insulation resistance values of 1020 to 104 ohms represent perfect insulation, but for 103 ohm and below the insulation deteriorate and failed outright at the least value. Similarly, capacitances of 10-14 to 100 Farads present perfect insulation, while 101 to 103F deteriorating and then failed insulation. In both cases the range for deterioration of insulation, during which intervention could be made before outright failure, is quite limited. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Fig 4 (a) Iins Vs Rins Vol. 2, Issue. 1, April-2013. P.Pugazhendiran, M.Sujith and Dr.S.S.Jayachandran Fig 4 (b) Iins Vs Cins (B) Insulation failure between primary winding and ground Analysis as in the last section was repeated for the case of insulation deterioration and failure to ground at different locations on the primary winding, but with the breakdown voltage ignored. The ensuring results, which are similar to those above, are as shown in figure With the breakdown voltage incorporated in the analysis the steady-state results in figure 4(a) and 4(b) .These reflect the same state change from good insulation to deteriorating and failed insulation as observed so far. Zero to very low voltage breakdown leads to insignificant contribution to current flowing through that insulation. However, large value breakdown results in large negative value of current contribution to the insulation current. In proportion this contribution of the breakdown voltage is quite significant that it causes proportionality large current to flow in the rest part of the device, thus resulting, on one hand, in the outright burnt out of the device. On the other hand, the large currents in the presence of magnetic fields produce large forces responsible for the violent nature of the failure of the device. V. CONCLUSION A lumped parameter model suitable for investigating insulation failure in a high voltage current transformer has been proposed in this paper. This model has enabled the study of the influence of deteriorating insulation before complete failure in the primary windings of the transformer. Two cases were investigated: insulation failure within primary winding only, and between primary winding and ground. Three main outcomes are worthy of note: * The current quantities are defined as the state variables of the device; these variables are significantly influenced by the change in the state of insulator at most points in the device. These influences may be observable and could then be monitored for quick intervention before a complete failure of the equipment. * The band on the insulation parameters scale between the commencement of deterioration and complete failure of insulation is quite narrow. * The influence of failing insulation on the signal waveforms within the device is insignificant. Consequently, there is no significant generation of harmonics as a result of deteriorating or failure of insulation in the device. IV. REFERENCES [1]. Van Bolliuis, Gulski E, Smith JJ, "Monitoring and Diagnostic of Transformer Solid Insulation", IEEE 108 Transactions on Power Delivery, Vol. 17, No 2, March 2002. [2]. Francisco das Chagas Fernandes Guerra , Wellington Santos Mota, “A New current transformer model”, Revista Controle & Automação/Vol.16 no.3/Julio, Agostoe September 2005. [3]. Hang Wang, Karen L. Butler, “Modeling Transformers With Internal Incipient Faults”, IEEE Transactions on power delivery, vol. 17, no. 2, April 2002 [4]. Mehmet Tu¨may, R. R. S. Simpson and H. El-Khatroushi2 “Dynamic model of a current transformer”, International Journal of Electrical Engineering Education 37/3. [5]. Demetrios A. Tziouvaras, Peter McLaren, George Alexander, “Mathematical Models for Current, Voltage, and Coupling Capacitor Voltage Transformers”, IEEE transactions on power delivery, vol. 15, no. 1, January 2000. [6]. http://-Av.mathworks.com P.Pugazhendiran was born in Tamilnadu, in 1979. Received his UG degree in Electrical and Electronics Engineering from Coimbatore Institute of Technology (CIT) in 2001 and PG degree from College of Engineering Guindy (CEG), Anna University, Chennai in 2009. His research interests includes Power quality issues, Power Converters, Renewable energy sources, Electrical Drives. He Published More than 5 Engineering Books. He published 7international journals and Presented papers in 10 national and international conferences Teaching Experience over a decade. He is currently working at I.F.E.T College of Engineering as Associate Professor and head of the department. He is a life member of ISTE. M.Sujith was born in Namakkal, Tamilnadu in 1987.He received the B.E. degree in Electrical and Electronics Engineering from K.S.R.College of Engineering and received M.E. degree in Applied Electronics from the Annai Mathammal Sheela Engineering College. He published 4 international journals and Presented papers in 6 national and international conferences. He is currently working at I.F.E.T College of Engineering as Senior Assistant Professor. His main research interests include power electronic converters, compensators and digital communications Dr.S.S.Jayachandran was born in Tamilnadu. He is currently working as Principal in IFET College of Engineering. He has served for 35 plus years at College of Engineering, Guindy - Chennai, Central Polytechnic Chennai and TPEVR Govt. Polytechnic - Vellore. He has been very much effective in Placement related activities. He has to his credit over 66 publications and guided over 800 students. He is a recognized Supervisor for guiding Ph.D and M.S (by research) under Anna University, Chennai in the area of Safety, Quality Management and Industrial Engineering. He has lead Accreditation process for 7 Engineering programmes in 3 Institutions. He has also lead permanent Affiliation process. He has been awarded certificate of merit by DTE. He has carried out developmental works for over 100 industries and has conducted a number of Staff & Student development training programs. He has carried out several consultancy projects in the areas of Man Power Development under CPS for Ministry of HRD, Vocational training scheme for TAHDCO and Infrastructural Development Scheme for DRDA. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mashhood Hasan, Dinesh Kumar and Zafar Khan 109 Multimodules of Diode Clamped Multilevel Converter: A Novel Option for High Power Facts Controller Mashhood Hasan, Dinesh Kumar and Zafar Khan Abstract— This paper proposes a multimodules multilevel diode clamped converter for a novel option high power FACTS (Flexible AC Transmission System) controller. The various configurations are being compared for high power FACTS controlling devices and a mathematical design has been developed for switching strategy considering fundamental frequency. A switching pattern is developed for seven level two module converter. There are six degree of freedom in the design of the switching strategy which can mitigate lower order harmonics and equally distribute current between two module. Keywords— FACTs, Diode clamped, Distortion, Multimodules, Multilevel. Total Harmonic in series without increasing the individual thyristor rating, provided the technology to ensure that the dc link voltages are equal at all the levels is perfected. However, the clamping diodes have to sustain the high voltage stress as the number of levels increases. The voltage withstand of the diodes can be increased by connecting several units in series. Unlike the thyristors, the turning ON and OFF of the diodes do not depend on gate-triggering so that passive circuits are sufficient to ensure equalization of the voltage stresses in steady-state and in transient. I. INTRODUCTION Proliferation in power electronics in the last few decades have led to improvements in power devices and novel concepts in converter topologies and control strategy can improve the power quality. There are three types of voltage source multilevel converters are recognized as potential candidates for FACTS Controllers: (1) the diode-clamped converter, (2) the flying-capacitors converter, and (3) the cascaded-inverters with separated dc sources. Now a days researchers is devoted to the diode-clamped topology based multimodular FACTS controller devices for high power application in a transmission line. However, brief descriptions are given in below to all the 3 candidates and the evaluations which have been made show that the multimodular multilevel diode-clamped topology is the most promising one. Diode clamped multilevel converter which is shown in Fig.1the structure of the diode-clamped multilevel converter [2-6], which is actually an expanded version of Nabae's Neutral-Point, 3-1evel converter [1]. In the structure, (N-l) dc capacitors divide the total dc link voltage into N levels and each half-Leg consists of (N-1) series-connected valves, with each valve being interconnected to the corresponding level of the dc capacitor via c1amping diodes. The idea is to limit the voltage stress of the valves to the dc link capacitor voltage of the jth level (j=1,2 ... N-1) with the help of these clamping diodes. Thus the voltage ratings of the converter can be increased by adding the number of levels that are connected Mashhood Hasan, mirmashhood2010@gmail.com , Dinesh Kumar dinesh03211@gmail.com, and Zafar Khan, zafarkhan1069@rediffmail.com Emails: Fig.1 Flying-capacitor multilevel converter which is shown in Fig.2 the structure of the flying-capacitor multilevel converter [2]. In the structure, every pairing of the valves that are symmetrically located on the phase legs is spanned by a dc capacitor. Fig.2 The size of the voltage increment between any capacitor and the capacitor bracketing it on the outside International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mashhood Hasan, Dinesh Kumar and Zafar Khan determines the size of the forward voltage stress of the switching valves clamped by the two dc capacitors. For a N-Level converter, it requires 6(N-l) switching valves and (3N-5) dc capacitors. The structure appears to be simple and symmetric. However, compared with diode-clamped converter, it requires a large number of capacitors, which normally entails the same number of complicated controllers or independent dc power suppliers to maintain their voltages at the specified levels. 110 The magnitude of fundamental harmonic of the ac output voltage for Kth harmonics and mth module. Vkm 4Vdc cos(k1m ) cos(k 2m ) cos(k3m ) 3k for k=1,3,5…… (1) m=1,2 For eliminating lower order of harmonics and balancing the currents in individual module if it is to be setting Vk1 Vk 2 0 (2) since cos( k im ) 1 (i=1,2,3), it follows from (1) that the Kth harmonic voltage of the mth module satisfies the inequality. Vkm 4Vdc k (3) th as the filter reactance with respect to the K harmonic is Fig.3 Cascade multilevel converter is shown in Fig.3 the structure of the cascade multilevel inverters [7,8], in which full single phase H-bridge inverter modules are connected in series, with each module being fed by the voltage from a separate dc capacitance. The N-Level cascaded-inverter uses 6(N-I) switching va1ves and 3(N-l)/2 dc capacitors. X k jk L1 (4) the magnitude of the kth current is I km .as the Vkm 4V 2 dc X k k L1 (5) I km in (5) varies inversely with K2, the square of the harmonic number, the harmonic current decreases rapidly with the increasing k. Furthermore, as even and triplen harmonies do not exist, the lowest harmonies number not already considered in the equalization of the rms voltage is k=17 From (5), it is clear that the tilter inductance Li can be quite economically sized without causing noticeable unbalance. III. COMPARISION AMONG THE CONFIGURATION Fig. II. MATHEMATICAL DESIGN OF SWITCHING STRATEGY The mathematical calculation of Fundamental Frequency Switching strategy [30-32] is preferred because it gives the idea of Kth harmonics for mth module. Fundamental Frequency Switching strategy is suitable for high power converter. It requires only one switching at each cycle of the utility standard frequency. There are different configuration are evaluated for the purpose of determining which is the most promising structure to follow in the research of the thesis. In the comparison, formulas of the components count of the thyristors, the diodes, the capacitors etc. required for the four different structures to implement the N-Level converter and M module. Table 1.1 lists the number of solid switches, dc capacitors and clamping diodes required to implement a N-level converter and M module. Obviously, the cascade structure and the flying-capacitance structure require more capacitors and the diode-clamped structure needs more clamping diodes. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mashhood Hasan, Dinesh Kumar and Zafar Khan 111 Diode clamped converter Flying capacitor converter Cascaded converter Multimodules multilevel diode clamped converter Switching valve 6(N-1) 6(N-1) 6(N-1) M*6(N-1) Dc capacitor (N-1) (N-1)*(N-2)*3/2+(N-1) 3(N-1)/2 M*(N-1) Clamping diode (N-1)*(N-2)*3 0 0 M*(N-1)*(N-2)*3 Application in FACTS STATCOM,SSSC and UPFC STATCOM STATCOM STATCOM,SSSC and UPFC Table 1.1 shows the comparative formulas for counting components Compared with the diode-clamped structure both the cascade structure and the flying-capacitor structure require many more dc capacitors and complex capacitor voltage controllers. In addition, both of them cannot be used for application in the back-to-back rectifier converter dc link, which is the core of the Unified Power Flow Controller (UPFC) and the Asynchronous Link. Although the diode-clamped structure will be required more c1amping diodes, however it incurs less cost. .Unlike the other two structures, the 3-phase legs of the diode-clamped structure share the common series-connected dc capacitors. Therefore, it can be used in almost all kinds of FACTS controllers, including those based on the aforesaid back-to-back, rectifier/inverter dc link Based on above comparisons, the multimodules diode-clamped multilevel converter are preferred. IV.SIMULATION RESULT The six unknown switching angles im (i=1,2,3; m=1,2) in Fig. c V.CONCLUSION Multimodules of diode clamped multilevel converter has been seen multi advantage over various configuration. It perform three major task (i) it achieve low total harmonic distortion in voltage and current,(ii) direct fast control output voltage magnitude (iii) equal distribution of current in separate modules. This configuration adopted for all the FACTS controlling device simply because of less cost and easy controlling. equations 1 and 2 are solved numerically using Matlab software. REFERENCES [1] A Nabae, I.Takahashi, H.Akagi, "A new Neutral-Point-clamped [2] [3] Fig. a [4] [5] Fig. b [6] [7] PWM Inverter," IEEE Transactions on Industry Applications, Vol.IA-17, No.5, September/October 1981 pp.518-523. C.Hochgraf, R.Lasseter, D.Divan, T.A.Lipo, "Comparison of Multilevel Inverters for Static Var Compensation," IEEE IAS '94 Annual Meeting Record, pp.92l-928. R.W.Menzies, P.Steimer, J.K.Steinke, "Five-Level GTO Inverters for Large Induction Motor Drives," IEEE transactions on Industry Applications, Vo1.30 No.4, July/August 1994, pp.938-944. R.W.Menzies and Yiping Zhuang, "Advanced Statîc Compensation Using a Multilevel GTO Thyristor Inverter," IEEE Transactions on Power Delivery, Vol. la, No.2, April 1995 pp.732-738. J.B.Ekanayake, N.Jenkins, C.B.Cooper, “Experimental Investigation of an Advanced Static VAr Compencsator" IEE Proc.-Gener. Trans. Distrib., Vol.142, No.2, March 1995, pp. 202-210. J.B.Ekanayake, N.Jenkins, "A Three-Level Advanced Staric VAR Compensator," IEEE Transactions on Power Delivery, Vol.11, No.l, January 1996, pp.540-545. F.Z.Peng, J-8 Lai, J.Mckeever, J.VanCoevering, "A Multilevel Voltage-source Inverter with Separate DC Sources for Statie VAR Generation," IEEE lAS'95AnnualMeeting Record, pp.2541-2548. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013. Mashhood Hasan, Dinesh Kumar and Zafar Khan 112 [8] F.Z.Peng, J-S Lai, "Dynamic Performance and Control of a Static Var Generator Using Cascade Multilevel Inverters,” IEEE IAS'96 Annual Meeting Record, pp.l009-1015 [9] B.Mwinyiwiwa, Z.Wolanski, Y.Chen, B.T.Ooi, "Multimodular Multilevel Converters With Input/Output Linearity,” IEEE Transactions on Industry pplications,Vol.33,No.5,September/October 1997. Mashhood Hasan received the B.E and M.Tech degree from Jamia Millia Islamia(a central university ) New Delhi ,India in 2003 and 2009. He is a Ph.D. student from the same university. From March 2004 to Sep 2006 he was a Lecturer in electrical department at Al-Falah School of Engineering and Technology India. Since Sep 2006 to august 2010 worked as Senior Lecturer in electrical department at IEC college of Engineering and Technology, Gr Noida (UP). Presently, working in GALGOTIAS college of Engineering and Technology in Electrical Department, Gr Noida (UP), since august 2010 as a Assistant Professor. His research interests in FACTS controlling device, power system and power electronics. Dinesh kumar received the B.E degree from BCE Bhagalpur,Bihar (Government engineering college) and Mtech from IET Ajmer, Rajsthan,India in 2007 and 2012.From Sep 2007 to august 2010 he was a lecturer in in electrical department of IEC college of engineering and technology,Gr Noida (UP). Since Sep 2010 to January 2012 worked as Senior Lecturer in electrical department at GNIT Girls Institute of Technology, Gr Noida (UP). Presently, working in Dronacharya college of engineering, Gr Noida (UP), since 28 th January 2013 as a Assistant Professor. Zafar khan received the B.E degree from Jamia Millia Islamia (a central university ) New Delhi ,India in 2009. Right now he is pursuing M.tech from Al Falah School of engineering and technology,Dhouj Faridabad, India. . From August 2009 to dec 2010 he worked with Voltas Ltd. As a project engineer.. Presently, working in Al Falah School of engineering and technology,Dhouj Faridabad, India. since 17 january as a Assistant Professor. His research interests in FACTS controlling device, power system and power electronics. International Journal of Emerging Trends in Electrical and Electronics (IJETEE) Vol. 2, Issue. 1, April-2013.