SMART DISTRIBUTION TRANSFORMER APPLIED TO SMART GRIDS Josemar O. Quevedo*, Julian C. Giacomini*, Rafael C. Beltrame*, Fabricio E. Cazakevicius*, Cassiano Rech*, Luciano Schuch*, Tiago B. Marchesan*, Maurício de Campos**, Paulo S. Sausen**, Jonatas R. Kinas** *Federal University of Santa Maria (UFSM) 97105-900, Santa Maria, RS, Brazil **Rio Grande do Sul North-Western Regional University (Unijui) 98700-000, Ijui, RS, Brazil josemar.oliveira.quevedo@gmail.com Abstract – Growing demand, requirements for power quality enhancement and distribution generation are increasing the complexity of distribution systems. In this scenario, voltage regulation of distribution networks also becomes more complex, especially in long distribution lines. In this paper, a smart distribution transformer is proposed, which employs an electronic on load tap changer with a bidirectional communication system. This system enables automatic voltage regulation, telemetry and remote control for power utilities, allowing its application in Smart Grids. Keywords – Electronic on load tap changer (OLTC), smart grids (SG), smart transformer (ST). I. INTRODUCTION Voltage regulation is one of the most important power quality issues in distribution systems, and it is still a problem for power utilities. The continued growth in electric energy consumption, the requirements for power quality enhancement and the inclusion of distributed generation (DG) units are increasing considerably the complexity of distribution systems [1]. In this scenario, voltage regulation of distribution networks also becomes more complex, especially in rural areas, which typically experience the least reliable power [2]. On load tap changers (OLTCs) are the most popular voltage regulation devices, which have been employed in medium and high power transformers. The commutation of taps in OLTCs is done by electromechanical switches, resulting in arcing in contacts, and consequently, their carbonization of the contacts and degradation of the insulation oil [3]. The high cost of these devices prevents them from being used in distribution systems. To reduce the cost, no load tap changers (manually commuted in loco) are used in distribution systems, so that these devices cannot provide automatic voltage regulation. The development of electronic OLTCs, based on power electronics, sensing and management systems is a potential solution for the enhancement of the power grids [4]. These systems can provide to power utilities OLTC devices more stable, effective and cheaper, when compared with the electromechanical devices. In addition to voltage regulation, the employment of electronic OLTC in distribution transformers enables the development of a smart device, which can provide additional functions to the transformer. This device is usually named as a smart transformer [5], and can allows the online control of 978-1-4799-0272-9/13/$31.00 ©2013 IEEE 1046 the secondary voltage of the transformer [6], from the online adjustment of the taps, including important functions for the distribution system, such as: power dispatch control for DG units, avoiding overvoltage in the secondary side [5]; creating a bidirectional communication path between the power utility and the transformer, allowing the online evaluation of the transformer loading [7]; monitoring of the load behavior at the point of common coupling (PCC), among others. On the other hand, the implementation of the concept of smart transformers in distribution systems requires an adequate communication system. However, the existing distribution system has limited or inexistent communication, sensing and computing capabilities [8]. These limitations are actually one of the main problems for the development of smart grids. Therefore, this paper proposes a smart distribution transformer, which enables the automatic voltage regulation in the PCC, allied to a bidirectional communication with the power utility. These capabilities are complemented by the characteristic of easy expansion of the proposed system, which enables the creation of a network of smart transformers, enhancing the power quality and the management of the distribution system. This paper is organized as follows: Section II describes the electronic OLTC employed in the ST, and includes some experimental results. Section III describes the proposed ST, presenting the topology and the prospected functions of the system. Finally, section IV presents experimental results of proposed system. II. ELECTRONIC ON LOAD TAP CHANGER The use of tap changers was initially encouraged by the generalization of ac voltage in the power systems [3]. These devices enable the voltage regulation through the changing of the turn ratio of the transformers. Mechanical switches are usually employed in distribution transformers, and the commutation of the taps is typically manual. The development of electronic switches for higher voltage and current levels enabled the replacement of the mechanical switches by electronic ones. This solution allows the transformer’s tap to be commuted electronically, making the switching process faster and free from electric arcs. Moreover, the application of microprocessors enables the implementation of control strategies for the enhancement of the commutation process, and the remote control of the system. A. Electronic OLTC characteristics Figure 1 shows a simplified block diagram of the electronic OLTC under analysis. The electronic OLTC consists of a 5 kVA single phase earth return (SWER) transformer. Its voltage specifications are summarized in the Table 1. TABLE I Voltage specifications of the transformer Voltage characteristics Tap Primary Secondary connections voltage voltage N7 – N9 7967 V* N7 – N11 7621 V N5 – N11 7274 V 220 V N5 – N13 6928 V N3 – N13 6581 V *Nominal voltage at line frequency of 60 Hz. From Figure 1, one can see that the primary side variables (current and voltage) are measured through a current transformer (CT) and a voltage transformer (VT), which ensures the required insulation for the control system. Furthermore, the VT feeds the instrumentation and control systems, which ensures the operation of the system regardless of the availability of voltage in the secondary side of the transformer. The commutation process must ensure that the primary side of the transformer will not remain open circuited, preventing the switches to support all the primary voltage of the transformer. For this purpose, there is a need for the overlap of two switches during the commutation. However, this process should be as fast as possible, to limit the short circuit current during this period. Therefore, the CT measures the primary current and provides the reference for the zero crossing current commutation, avoiding a huge short-circuit current in the commutation process (limited by the tap winding inductance). The zero cross detection is achieved by the implementation of a Kalman filter [9] in the measured primary current, ensuring high noise immunity in this process. The adoption of thyristors (as presented in [10]) for the proposed application difficulties the development of gatedriver circuits, once the latch and hold current of commercial thyristors are higher than the nominal current through the switches at rated power in this application. For this reason, insulated gate bipolar transistors (IGBTs) connected with emitter configuration, and associated with anti-parallel diodes, can be adopted as bidirectional switches, as proposed in [6]. The secondary voltage is measured and compared to a voltage reference in the control system, providing voltage regulation of the secondary side of the transformer within the acceptable range. The connection between the control system and gate-drivers is accomplished through an optical channel. In addition, the gate driver circuits were developed to present the same insulation class of the distributed transformer, i.e., 15 kV, this voltage class is obtained from a switch mode power supply implemented through an isolated full bridge dcdc converter. Additionally, the switching command is performed by the optical fibers. The control of the electronic OLTC is performed by a digital signal processor (DSP) TMS320F28335 from Texas 1047 Fig. 1. Simplified block diagram of the electronic OLTC. Variable measurements Secondary rms voltage unconformity detection Rms voltage is outside the limits? no yes no Current zero crossing detection? yes Tap commutation Fig. 2. Simplified control block diagram. Instruments. The simplified control diagram of the OLTC is presented in Figure 2. The electronic OLTC has a protection system designed to handle with overvoltage in the primary side of the transformer, possible voltage spikes existing in the commutation process, and atmospheric discharges in both medium and low voltage sides. Furthermore, the protection system has a normally closed electromechanical switch in parallel with the switch S1, which prevents the electronic switches to support the entire primary voltage of the transformer during the start-up process, and protects the switches against overcurrent caused by short-circuit in the secondary side of the transformer. B. Experimental results of the electronic OLTC The electronic OLTC has been implemented for nominal parameters shown in Table 1. The tests were performed in order to keep the rms voltage between the limits of 201 V and 229 V in the secondary side of the transformer, which are the acceptable voltage limits for single-phase distribution systems according to the Brazilian standard PRODIST [11]. For the implementation of the system, a 5 kVA distribution transformer has been used to obtain the 12 7968 V 6530 V Voltage (kV) 10 8 6 Rms voltage 4 2 0 0 0.05 0.1 0.15 0.25 0.2 Time (s) 0.3 0.35 0.4 0.3 0.35 0.4 (a) 350 300 Voltage (V) experimental results. The secondary side of the transformer is connected to a 4.8 kW load, the line impedance in this case is 0.3 pu, added to emulate a long distribution line, which results in a primary voltage drop at the PCC of 16.3%, as can be observed in Figure 3(a). The electronic OLTC under analysis has an adequate operation for disturbances until 17.4% of voltage drop, limited by the voltage range of the tap windings. Results presented in Figure 3 confirm the voltage regulation at the PCC for the specified range. Figure 3(a) presents the positive half cycles of the primary voltage with its rms voltage. Figure 3(b) presents the positive half cycles of the secondary voltage with its rms voltage, where it is possible to see the adequate regulation of voltage. The specified commutation period (from one tap to next one) is defined as ten line voltage cycles. However, this period was considered only for better visualization of results. It must be highlighted that the system is able to commutate the taps every half cycle of the line frequency, as shown in Figure 4(a) and 4(b), for the same conditions of Figure 3. Figure 5 presents the currents through the switches S1 and S2 during the commutation process, confirming the mitigation of the short-circuit current due to the reduced overlap time between the switches, which is ensured by the fast response of the electronic switches and adequate control strategy. In addition, the commutation is realized at zerocrossing instant to reduce the current efforts and possible voltage spikes over semiconductor switches. Figure 6 presents the proposed electronic OLTC. Extensive laboratory tests have been successfully performed, demonstrating the applicability of this electronic OLTC. 250 200 150 100 50 0 0 0.05 0.1 0.15 0.25 0.2 Time (s) (b) Fig. 4. Voltage regulation of the electronic OLTC for each half cycle of line frequency, (a) primary voltage, (b) secondary voltage. Primarycurrent current Primary 11 Current Current through across S1S1 2 12 7969V 6872V 6771V 6667V 6535V 10 Voltage (kV) 3 3 6394V Current Current through across S2S2 1 2 1 8 6 Rms voltage 3 3 Fig. 5. Zero crossing current commutation with nominal load. 4 2 0 0 0.1 0.2 0.3 0.4 0.6 0.5 Time (s) 0.7 0.8 0.9 1 0.7 0.8 0.9 1 (a) 350 Voltage (V) 300 250 200 150 100 50 0 0 0.1 0.2 0.3 0.4 0.6 0.5 Tempo (s) 3 (b) Fig. 3. Voltage regulation of the electronic OLTC for ten cycles of line frequency, (a) primary voltage, (b) secondary voltage. 1048 Fig. 6. Electronic OLTC transformer. PLC channel PLC channel Wireless channel Short distance communication Long distance communication Primary feeder Smart transformer N Power Utility Smart transformer 1 wireless module Gateway and wireless module Control system and PLC interface Data center and grid management Fig. 7. Schematic of proposed smart transformer communication system. III. TOPOLOGY FOR SMART TRANSFORMER APPLIED IN SMART GRIDS In future electrical grids, the voltage regulation will be affected especially due to the growth of demand for electricity and the integration of distributed generation in the distribution systems. Moreover, power quality problems such as sags and swells will be less acceptable with the requirements for better power quality delivered to end users. Therefore, automatic voltage regulation devices shall be developed to manage these problems. The concept of smart transformer aims to mitigate these voltage problems in the electrical grids, providing voltage regulation and creating a bidirectional communication path with the power utility. In addition to automatic voltage regulation, the smart transformer can enhance the management of the distribution systems, enabling, for instance: direct actuation over transformer taps; monitoring of transformer variables; evaluation of transformer loading; planning of grid expansion, maintenance, and replacement of overloaded transformer; among others. However, the application of smart transformers requires a communication system able to support a set of functions not provided by the current distribution systems. In this way, this communication system should be compatible with smart grid applications, being capable of communication with other appliances along the distribution system. The communication is one of the most important roles in a smart grid, providing advanced control and monitoring, improvements in security, efficiency, reliability, redundancy, self-healing, interactivity, etc. [2],[12]-[14]. It is essential to communication system work in a bidirectional way, this capability is required for interaction between consumer and power utility, and also it enables the enhancement in the management of the power system [15]-[16]. It is worth mentioning that two information infrastructures are basically needed in a smart grid: sensors and electrical appliances (such as smart meters), and communication between the electrical devices and the data center [8]. As suggested by [17], the first set of data can be accomplished by power line communication (PLC), or wireless communications, such as: ZigBee, 6LowPAN and Z-wave. 1049 The communication with the data center can be done by cellular and/or internet technologies. The integration of the smart metering with the proposed communication system may allow the voltage regulation in the most critical part of the secondary distribution system, depending on its characteristics, e.g., right after the secondary terminals of the transformer, in the middle or in the end of secondary grid [5]. This approach may help the power utilities to have online voltage regulation, and enhances the power quality of the distribution system at its critical points. Hence, it has been proposed, as shown in Figure 7, a communication topology for employment in smart transformers for distribution systems, especially thought for smart grid applications. Specifically, this system is designed for applications in rural distribution networks, where voltage regulation is usually critical, and signals of cell phone and internet are poorly efficient. The system is composed of a distribution transformer, equipped with an electronic OLTC for automatic voltage regulation, and a communication system, which is a hybrid composition of two stages: a PLC system over the medium voltage line; and a wireless technology, based on cell phone, internet technology or radio. The PLC channel is used to establish a path between the distant locations, where the transformer is installed, and the gateway that concentrates the data from other smart transformers installed in the region. The gateway also converts the data into a wireless communication channel. The amount of data transferred and received by the smart transformer makes the PLC suitable for this application, since it does not need a high data transmission rate. On the other hand, the wireless channel needs a higher data transmission rate, since it concentrates the data from a set of smart transformers, which prompts cell phone and internet technologies a good choice. Figure 8 presents the block diagram that represents the operation of the proposed Smart Transformer. The set of blocks “Transformer → Instrumentation → Control → Gatedriver → Electronic OLTC → Transformer,” builds the voltage regulation block, which is responsible for the secondary voltage regulation. The “Interface module” blocks are data converters, which convert variables and events of the Transformer Smart transformer 1 Smart transformer n Electronic OLTC Gate driver Instrumentation Control Interface module 1 A. Interface and intelligent sensor modules The Intelligent Sensor Modules (ISM) [18] are responsible for the acquisition transformer’s variables. The ISM is equipped with four sensing inputs, two digital and two analog. The analog inputs are designed to operate with signals in the range of 0 to 5 V or 4 to 20 mA, complying with most commercial sensor characteristics. If the sensor connected to the ISM requires power, a power supply can be implemented with the signal connector. In addition to the magnitudes of voltages and currents, the ISM can acquire: temperature (transformer and ambient), humidity, state of protection devices, and others. The number of ISMs to be used for transformer depends on the amount of data required of each measured variable, and the transmission data rate available. Furthermore the ISM has a digital output, which allows it to actuate on the system. The physical aspect of the ISM module is shown in Figure 10. Temperature, humidity, fault... Interface module n Master module PLC Interface Gateway Wireless Interface Power utility Fig. 8. Block diagram of the Smart Transformer. Transformer Smart transformer 1 Smart transformer n Electronic OLTC Gate driver Instrumentation Control Interface module 1 only the wireless interface. This option may be suitable for urban applications, where radio, cellphone and internet technologies can be directly applied. Temperature, humidity, fault... Interface module n Master module Wireless interface Power utility Fig. 9. Alternative block diagram of the Smart Transformer. control system and send them to the “Master module.” In the “Master module,” the data of all the interface modules are packed and sent to the “PLC interface,” which converts the data to be sent through the medium voltage line. The data coming from a set of transformers are received by the “Gateway” block, which concentrates and sends them to the “Wireless Interface.” From this block, the data are sent to the “Power utility,” where it is received and processed. The analysis of the data, and the bidirectional communication created, enables the power utility to actuate over the smart transformer in order to enhance the power quality, through the online operation of the taps. Also, the evaluation of data received allows the detection of critical points along the grid, while still allowing loss and maintenance analysis. An alternative communication system for smart transformers is presented in Figure 9. The block diagram presented suggests the removal of the PLC interface, using 1050 B. PLC interface The PLC modem incorporates a CPU, and application memory of 4 kbytes and 2 kbytes of RAM. The CPU executes routines for node protocol interconnections in a network, PLC, Interoperable Self Installation (ISI), and communication protocols, with the option to comply or not with the CENELECTM standard. All these protocols are proprietary and are stored in ROM memory on the device. The modem can operate in bands A and C defined in CENELECTM standard, which are selected from the crystal used to trigger the modem. The selection of the CENELECTM band also defines the rate of data transmission on the network. By selecting the A band, the communication will occur at a rate of 3.6 kbps. C. Gateway The implemented Gateway is responsible for interconnecting the set of sensors (ISMs) and the transmission system PLC. The main difference from the Gateway to the actual ISM is that there is an additional RS232 serial communication port used to accomplish the interconnection with the PLC. The physical aspect of the Gateway is shown in Figure 11. The communication among the Gateway and ISMs uses the MODBUS protocol. D. Wireless interface After collecting the data on the server, they can be viewed in real time on web application (Android or iOS systems), enabling in the future the remote control of the system. The system can also evaluate fault conditions based on this data. IV. EXPERIMENTAL RESULTS The smart transformer topology proposed has been implemented for the configuration presented in Figure 9. It was used a wireless interface communication with two 900 MHz radio modules model IPWR from Landis Gyr, which enables the communication in distances up to 17 km. Fig 10. ISM – Intelligent Sensor Module. Fig. 11. Developed gateway. The data communication and transformer’s control was performed efficiently. Figure 12 presents the interface of supervisory system developed for data receiving and manual transformer’s control, which enables two operation modes, i.e., “automatic regulation mode”, performed by the electronic OLTC itself, and a “management operation mode”, which permits the power utility to set a specific tap of transformer despite of the secondary terminal voltage. The supervisory system also runs on iOS® appliances, enabling mobility to the system analysis and control, Figure 13 presents the representation of the system in an iPAD®. As shown in Figure 3, the automatic voltage regulation mode regulates the voltage right after the secondary terminals of the transformer. This mode of operation is interesting for concentrated consumers, and can help in the power dispatch control of DG. However, depending on the characteristics of the secondary distribution grid, especially the line impedance, it may be more interesting to regulate the voltage in different points of the grid. This can be performed by the “management operation mode” of the smart transformer, giving to the power utility total control over transformer taps, what can be an important enhancement for the grids, since it permits to regulate the voltage in different places along the secondary system. Figure 14 presents the comparison between the data received from the supervisory system, with the voltage measured right at the secondary terminals of the transformer. This situation represents a possible operation of the power utility in order to regulate grid voltage level during different periods of day, raising the secondary voltage in periods of higher load, and reducing the voltage level in periods of lower load. Figure 14(a) presents the data received from the supervisory system, and Figure 14(b) presents the oscilogram of instantaneous voltage level measured in the secondary side of the transformer. Fig. 12. Developed supervisory system. 1051 proposed to be employed in urban locations, where wireless technologies themselves can perform the communication between the smart transformer and the power utility. The communication system based on the wireless technology has being successfully implemented. A supervisory system was developed, enabling the operation of the transformer in both automatic and management modes, still proving data logger capability. The main characteristic of the proposed system is the easy expansion, enabling the management of a set of smart transformers with the same communication path. It also allows forming a network of smart transformers. These features make the smart transformer a promising alternative for applications in distribution systems, in that it enables a voltage self-regulation and grid management, being suitable for distributed generation and smart grid applications. It is worth mentioning that the incorporation of the smart metering with the management operation mode of the smart transformer can enhance the voltage characteristics along the grid, providing greater amount of data about the grid’s behavior and, in this way, enabling programmed actions in order to improve aspects of the grid performance, as voltage regulation in the critical parts of the grid. Fig. 13. Supervisory system for iOS appliances. ACKNOWLEDGEMENT The authors would like to express their gratitude to “Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq),” “Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES),” “Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS)” and “Centrais Elétricas de Carazinho S/A” (P&D Aneel) for financial support. (a) 350 Voltage (V) 300 250 216 V 225 V S1 S2 235 V 225 V S3 S2 216 V REFERENCES 200 150 S1 100 50 0 0 5 10 15 20 Time (s) 25 30 35 40 (b) Fig 14. Comparison between the data received from (a) the supervisory system, (b) voltage measured in the secondary terminals of the transformer and switches under operation. V. CONCLUSION The smart transformer proposed and implemented in this paper employs an electronic OLTC with two communication systems: (i) an hybrid solution, which is composed of PLC and wireless technologies, and (ii) just wireless communication. 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