TRANSACTIONS ON ELECTRICAL ENGINEERING CONTENTS Arnold, P., Kment, A., Pípa, M., Janíček, F.: On-site Partial Discharges Measurement of XLPE Cables . . . . . . . . . . 107 – 110 Čapek, J., Sýkora, P., Lenoch, V.: Control of Traction Rail Vehicle with Free-wheels . . . . . . . . . . . . . . . . . . . 111 – 115 Fikke, S. M.: Climate Change – What Do We Know, What Do We Not Know, and What May Be the Consequences For Electric Overhead Line Systems? . . . . . . . . . . . . . . . 116 – 122 Akchurina, S., Tuzikova, V., Tlusty, J.: Optimal Parameters of Load-Center Supply System for Peripheral Districts of Big Cities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 – 126 Janiš, R., Kuba, J.: The Possibility of Electronic Equipment Cooling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 – 129 Vonkomer, J., Žalman, M.: Model Based Design of Electric drives 130 – 133 Vol. 1 (2012) No. 4 ERGO NOMEN pp. 107 - 133 TRANSACTIONS ON ELECTRICAL ENGINEERING Publisher: ERGO NOMEN, o.p.s., K13114 FEE CTU in Prague, Technicka 1902/2, 166 27 Praha 6, Czech Republic E-mail: info@transoneleng.org Editorial Office: PIVONKA Pavel HAVLICEK Radek MERICKA Jiri NOVA Ivana VONDRICH Jiri ZDENEK Jiri Periodicity: Language: Scope: On-line version: Quarterly English International scientific journal of electrical engineering www.transoneleng.org ISSN 1805-3386 Each paper in the journal is evaluated by two reviewers under the supervision of the International Editorial Board. International Editorial Board Editor in Chief: Prof. LETTL Jiri, Czech Technical University in Prague, Czech Republic Members: Prof. BAUER Palo, Delft University of Technology, Netherlands Prof. BRANDSTETTER Pavel, VSB-Technical University of Ostrava, Czech Republic Prof. DOLEZEL Ivo, The Academy of Sciences of the Czech Republic, Czech Republic Prof. DUDRIK Jaroslav, Technical University of Kosice, Slovakia Prof. NAGY Istvan, Budapest University of Technology, Hungary Prof. NOVAK Jaroslav, University of Pardubice, Czech Republic Prof. ORLOWSKA-KOWALSKA Teresa, Wroclaw University of Technology, Poland Prof. PEROUTKA Zdenek, University of West Bohemia, Czech Republic Prof. PONICK Bernd, Leibniz University of Hannover, Germany Prof. RICHTER Ales, Technical University of Liberec, Czech Republic Prof. RYVKIN Sergey, Russian Academy of Sciences, Russia Prof. SKALICKY Jiri, Brno University of Technology, Czech Republic Prof. VITTEK Jan, University of Zilina, Slovakia Prof. WEISS Helmut, University of Leoben, Austria Responsibility for the contents of all the published papers and technical notes is upon the authors. Template in MS WORD and basic typographic rules to be followed see www.transoneleng.org. Copyright: ©2012 ERGO NOMEN, o.p.s. All right reserved. Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 107 On-site Partial Discharges Measurement of XLPE Cables Peter Arnold 1), Attila Kment 2),Marek Pípa 3) , František Janíček 4) Slovak University of Technology in Bratislava, Faculty of Electrical Engineering and Information Technology, Institute of Power and Applied Electrical Engineering, Ilkovičova 3, 812 19 Bratislava, Slovak Republic, www.fei.stuba.sk 1) peter.arnold@stuba.sk, 2) attila.kment@stuba.sk, 3) marek.pipa@stuba.sk, 4) frantisek.janicek@stuba.sk Abstract — The contribution deals with the methodology of on-line measurement of partial discharges in XLPE cables. After the specification of measuring methodology and used apparatus the evaluation of the measured data follows. Contribution gives an example of a real on-site measurement on 110kV XLPE cable power line in operation. Keywords — Partial discharges, on-line measurement, XLPE high-voltage cables. I. INTRODUCTION Presence of partial discharges is a key indicator of the real state of a cable insulation system. By measurement of partial discharges it is possible to identify them and take actions to prevent unexpected failure in the power system. To achieve this goal several methods exist. When the presence of partial discharges in an insulation system of medium-voltage cables is investigated, according to European standard STN EN 60270, using of a galvanic method is usual. Mentioned methods are mostly off-line, which means that the line needs to be switched off. This methodology requires a dischargesfree power source and a suitable analog or digital measuring system. As soon as the length of investigated cable exceeds several hundreds of meters, the demand for the installed capacity of the power source grows. The measuring apparatus in most cases is supposed to be mobile, so the needed power supply has larger dimensions, and weight of course. These facts justify the search for other than off-line partial discharge monitoring options. As said for medium-voltage cables of greater lengths, the problem is with the discharge-clean power supply capacity. For high-voltage cables such a power supply cannot be described as mobile because of weight and dimension as well. To eliminate the need of huge power supply for off-line measuring and to enable to investigate the power line in operation a new methodology is a necessity. Recently most interesting methods are that can identify discharge activity on-line, that means without the need of switching the devices or parts of power line off. On-line partial discharges can be investigated by several procedures: Spot testing (test time from 15 minutes to few hours per circuit) is widely used on transmission lines, Continuous partial discharges monitoring (test time from several hours to few days) is mainly used on distribution networks, Permanent partial discharges monitoring is not widely used as yet. [1] II. SPOT TESTING The advantage of this methodology is that there is no need to isolate the investigated circuit. Cables can be tested in operation conditions and it allows an efficient planning of further investigation and localization of failure in case, when significant discharge activity is present. The measuring apparatus consists of an oscilloscope based system with four-channel capturing (shown in Fig.1), filter to eliminate radio frequency interferences, high frequency current transformers (shown in Fig. 2) and transient earth voltage sensors (shown in Fig. 3). The discharges diagnostic unit is based on a high-speed data acquisition of partial discharges signals at samplerates between 100 and 500 MS/s. Detecting and storing of the signals at high-resolutions allow to analyze and classify the pulses based on their true wave-shapes. Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 Fig. 1: Measuring apparatus 108 Fig. 2: HFTC sensor [2] The data acquired synchronously with the power cycle of the applied test voltage enables to save phase distribution of apparent discharges. High-frequency current transformers measure partial discharges in the investigated cable when right attached at the termination shield. [1] The transient earth voltage sensor is a small radio frequency aerial which can detect the high frequency discharge pulses coming for example from the inside of the switchgear, bushings, etc. These pulses tend to have pulse widths of a few tens of nanoseconds, and act as a good medium for the non-intrusive partial-discharge detection. [2] Evaluation of the measured waveforms can be performed using the PDGold or ScopeControl software. Mentioned tools utilize the partial-discharge “event recognition” to find short duration, high-frequency pulses and classify them as discharges with the origin in the cable, local equipment or noise. Cable pulses are characterized as monopole shape current-impulses detected by high-frequency transientcurrent sensors. They are integrated and their magnitude given in (pC). They could originate from the cable, cable termination or transformer. Local pulses have a large amount of high-frequency content (>5MHz). They are detected from sources near to the measurement point by both high-frequency current transformers and transient earth voltage sensors. The magnitude of these signals is calculated in dB. Fig. 3: TEV sensor [2] Limit values for partial-discharge apparent-charge observed in XLPE low- to medium-voltage cables and their terminations in general are summarized in Tab. 1. For high-voltage cables, of course, there is no tolerable level of the discharge activity. That means, any discharge activity detected in these cables require further localization and repair. Tab. 1: Limit values of partial-discharge apparent-charge 0 - 500 pC Acceptable level 500 - 1000 pC Recommended to monitor discharges level 1000-2500 pC Potential risk, recommended the periodic monitoring > 2500 pC Serious risk, location of the source and subsequent repair needed III. PROVIDED MEASUREMENTS Online discharge activity measurements were carried out as part of a preventive maintenance in order to determine the status of the high-voltage cable insulation system. The measurements were performed on two cable lines with lengths of 430 and 635 meters, each of which consisted of two parallel cables per phase. Cables have the XLPE insulation system and composite terminations on both ends. A cable shielding on substation side is directly grounded as shown in Fig.4 on the left; the transformer- side is Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 109 Fig. 4: Connections of sensors during measurements connected to ground over a varistor as shown in Fig.4 on the right. The cables were tested from both ends. The discharge signals were measured using high-frequency current transformers placed around the cable shielding followed by the transient earth voltage sensors located at the bottom terminals. The sensors were fitted separately for each pair of cables for each phase. Figures in Tab.2 show the observed discharge activity consisting of interferences at frequencies of 270, 540 kHz and 1,1 MHz together with a noise during measurements. After filtering the noise out from the acquired signals and making corrections to discharge activity resulting from substation electronic device interference captured by the capacitive transient earth voltage sensors, the resulting phase-distribution of partial-discharge apparent charge had the amplitude below 0,5 pC. That means this time no harmful partial-discharges were detected in tested objects. need to use an external low-discharge power supply; the whole apparatus is mobile, in comparison with galvanic off-line methods less complex, less susceptible to interferences and noise. Nowadays, for periodic testing of supported high-voltage XLPE cables this method seems to be most effective. However, it does not enable exact localization of a failure in case of a higher observed apparent charge in phase-distribution. To reach this goal, still usual off-line methods are required providing more diagnostic parameters, as these in insulation system capacity or loss factor. ACKNOWLEDGEMENT These publications are the result of implementation of the project: “Increase of Power Safety of the Slovak Republic” (ITMS: 26220220077) supported by the IV. CONCLUSION As contribution briefly describes, on-line measurement of the partial-discharges, more precisely so called “Spot testing” is a method, which almost does not affect the operation of investigated power system elements. It is no Research & Development Operational Programme funded by the ERDF Supporting the research in Slovakia. The project is co-financed by EU funds. Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 110 Tab. 2: Limit values of partial-discharges’ apparent-charge 0.03 0.04 0.02 0.02 0.01 0 -0.02 Local Equipment PD P D M a g n itu d e ( m V ) 0.06 C han 1 C han 2 Available Waveform Display 0 -0.01 -0.04 -0.02 -0.06 -0.03 0 2 4 6 8 10 12 Time (mSec) Chan 2 14 16 Curs 1 18 20 45 40 35 30 25 20 15 10 5 0 0 Curs 2 Partial-discharges in time-domain (HFCT) 50 100 150 200 250 300 Phase of Pow er Cycle (deg) 350 Partial- discharges in phase-domain (TEV) Noise Events N ois e M agnitude (m V) 25 20 15 10 5 0 0 50 100 150 200 250 300 Phase of Pow er Cycle (deg) Noise in phase-domain (HFCT+TEV) 350 Partial-discharges in phase-domain (HFCT-TEV) REFERENCES [1] Seltzer-Grant, M., Renfort, L., Mackinlay, R., Denisov, D., Madarasz, R., Schlapp, H., Petzold, F.; “Portable Online PD spot Testing and Monitoring Technology for Distribution Class Cables” 2011. ELEKTROENERGETIKA. [2] http://www.hvpd.co.uk/products/sensors. [Online] 20. 4 2012. The contribution was presented on the conference ELEN 2012, PRAGUE, CZECH REPUBLIC Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 111 Control of Traction Rail Vehicle with Freewheels Jan Čapek 1), Petr Sýkora 2) Václav Lenoch 3) 1) VÚKV a.s., e-mail: capek@vukv.cz University of Pardubice - Jan Perner Transport Faculty - Department of Electrical and Electronic Engineering and Signalling in Transport, Pardubice, Czech Republic, e-mail: petr.sykora@upce.cz 3) University of Pardubice - Jan Perner Transport Faculty - Department of Electrical and Electronic Engineering and Signalling in Transport, Pardubice, Czech Republic, e-mail: vaclav.lenoch@upce.cz 2) Abstract—This paper is focused on the low-floor trams with free-wheels driven by PMSM motors, especially on their traction control system. The first part describes modern low-floor trams, particularly the type 15T produced by Škoda Transportation. The second part of the paper presents the simulations of characteristics operating such tram in the rail and the results of these simulations. The last part of the paper describes the mechanical construction and electrical equipment of a light experimental rail car, that will be used as an experimental base for a improvement of the control system for the tram 15T. Fig. 1 Partially low-floor tram Keywords—low-floor tram, free-wheel drive, gearless drive, PMSM, control system, experimental vehicle. I. MODERN LOW-FLOOR TRAMS Tram vehicles have some specific elements in comparison with standard rail vehicles. Streetcar tracks are led through the streets of urban development, often not separated from car traffic, characterized by the presence of curves of very small radius (up to 20 m) and steep inclines. Challenging tracing of tramlines makes the construction of tram vehicles quite difficult. In addition to further tram improving it is now required a low-floor vehicle, which further increases the difficulty of the structural design of these vehicles and forces some other specifics. The use of low-floor vehicles in the public transport system allows not only convenient travel for citizens with limited mobility or passengers with wheel chairs but also significantly speeds up the exchange of passengers at tram stops. The first low-floor tram vehicles began to be produced in the second half of the 80’ of the 20th century. Since then, there was designed a large number of low-floor trams of different solutions to achieve the highest proportion of low-floor space. A high ground is considered to be a floor mounted at a height of about 600 to 900 mm above the rail, a low floor is then at a height of about 350-450 mm above the rail. The low-floor vehicles are divided into two categories - semi low floor and fully low floor. Typical arrangement of low-floor trams are illustrated in Fig. 1 and 2. The proportion of the low floor with semi low-floor trams ranging from about 15% (Fig. 1 top) to 75% (Fig. 1 below), in the case of a fully low-floor vehicles, the low floor is located along the passenger lounge. Fig. 2 Fully low-floor tram Location of low-floor trams bogies requires the use of special bogies. For the partially low-floor tram there are often used normal (non-driven) bogies and as a drive standard chassis located above the floor in a standard height. For full low-floor trams all the bogies, including drive, are then low-rise. A common feature of almost all types of low-floor bogies is the use of independently rotating wheels instead of conventional wheel sets. In case of drive bogie, these ‘axles’ are driven by a pair of longitudinally stored motors with double-sided output or each wheel is independently driven by one motor. Behavior of independently rotating wheels moving in a dorm is different from that of conventional wheel sets. While the wheel set is used from the very beginning of rolling stock and therefore the behavior in rail is well known, independently rotating wheels on rail vehicles is relatively new element that needs to be continually examined in detail. Using independently rotating wheels in bogies of trams was elicited from the low-platform. However, it can also be used for other important improvements of vehicles - in the case of independently rotating wheels when each of them is driven by its own motor it is possible to control each motor to improve road holding, in particular to reduce wear on wheels and rails and increase vehicle safety against derailment. Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 II. TRAM ŠKODA 15T Škoda Transportation in cooperation with Škoda Electric has designed and currently manufactures factorytype 15T trams known under the trade mark ForCity (see Fig 3). These trams - designed specifically for the Transport Company of the Capital City of Prague - had already at the design stage to meet very demanding requirements of the contracting authority. From our perspective, this is a multistage design with rotating bogies and drive on all wheel sets and at the same time the 100% low-floor vehicle without any stairs balancing of level floors inside the vehicle. Fig. 3: Tram 15T ForCity These requirements have led manufacturers to apply up to now seldom used traction drive concept: the wheels of the trams are no longer linked to a common wheel set in a rigid axle driven by one traction motor, tram-type 15T wheel drive was solved individually using low-speed synchronous motors excited by permanent magnets attached to wheels without the use of a gearbox, only by a flexible coupling. The chosen drive concept enabled to meet the requirements of the vehicle when entering the contract, but later on it also brought unsolved problems. The concept of the drive using sixteen liquid-cooled synchronous motors excited by permanent magnets supplied from sixteen voltage source inverters, causes increasing complexity of the vehicles and places significant demands on the control system and data communication between its various components. An innovation is mainly given by the absence of classical rigid wheel set in terms of roadholding. We could simply say that it is advantageous for solid axle ride in a straight line, which stabilizes the vehicle profitably, but while driving arc, however, a sweeping wheels on the rail are causing undesirable tread wear and noise. Using individual wheel drive provides in this respect a new potential and risk. When driving it is possible to prevent an arc sweeping wheel on the rail, which can dramatically reduce both the wear of wheel and rail and noise too. In contrast, in a straight line it does not reach optimal vehicle driving, in extreme cases it can cause lower safety against derailment. All these mentioned features, however, can be influenced by appropriate management of traction drives. 112 Since the Department of Electrical Engineering, electronics and security systems in transport of Jan Perner Transport Faculty of the University of Pardubice participated in the development of tram traction drive 15T [1], [2], collaboration resulted in another research project, this time focusing on optimizing control algorithms mentioned on vehicles with free driven wheels. As it would be the experimental verification of the changes effects upon the control software running on a real tram considerably complicated, we proceeded in cooperation with Škoda Electric and VÚKV to build an experimental vehicle. But the first part of the research is the simulation of the changes influence upon the control software. III. SIMULATIONS The MBS simulation software is used for an analysis of a rail vehicle dynamic behaviour during running on a track. In this software a virtual 3D vehicle model is created, which consists of mass elements (car body, bogie frames, wheel sets, etc.) that are connected to each other by kinematic joints (e.g. a rotational joint connecting a wheel set with an axle box) or force elements (e.g. suspension elements). After the vehicle model is created, the software builds up itself equations of motion of the mass elements and equations of the joints. The resulting system of differential-algebraic equations is solved numerically. Adams by the MSC.Software Company and Simpack by the company of the same name are the most popular MBS simulation softwares. Fig. 4 shows an example of the calculation model of a low-floor tram created in the Adams software. Fig. 4 Calculation model of a tram in Adams software Nowadays, the simulations are an inseparable part of the development and research in the field of railway vehicles. The wheel-rail joint plays an important role in the vehicle running behaviour. Thus, a mathematical model of wheel-rail contact is one of the most important and also the most complex elements in the MBS simulation software. The software enabled using of only a very simplified linear model with one point contact only in the past. Today, the simulation software contains a general nonlinear multipoint contact model. The multipoint contact between wheel and rail occurs when the vehicle is running in a curve of a small radius. Thus, such a complex model of a wheel-rail contact enables very detailed analysis of a running behaviour of tramcars even in extreme conditions, such as a vehicle run in a curve of a very small radius. Real wheel and rail profiles are considered in the calculation models – Fig. 5 shows an example of a wheel-rail contact of a tram running in a Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 straight track (up) and in a curve of a very small radius (down), with a contact point visualisation. In Fig. 6 the two-point wheel-rail contact in a curve is clearly to be seen (a grooved rail is considered). 113 Behaviour of the vehicle running in a track with irregularities show results of performed simulations shown in Fig. 7. The figure shows a dependency of lateral displacement of a wheel set (blue line) and independently rotating wheels (red line) on a travelled distance. The irregularities are on a track section from 100 to 800 m. It is obvious that independently rotating wheels move laterally with a higher amplitudes while a wheel set is forced to run in a central position in a track. The significant lateral movements are undesirable because they are associated with a higher wheel and rail profile wear. The graph also shows that after exiting the irregularities the wheel set moves to the centre of a track while the independently rotating wheels remain running laterally shifted. Fig. 5 Wheel-rail contact in straight track (up) and in curve (down) With the calculation model of a tram (see Fig. 5) simulations were performed in order to compare a running behaviour of the vehicle with rigid wheel sets and independently rotating wheels. Two basic calculation cases were considered: run in a straight track and negotiation of curves of several radii. The wheels of a rigid wheel set are forced to rotate with the same angular velocity. When the wheel set is laterally shifted in a straight track, the radii of rolling circles of the left and right wheel are different (a conical wheel profile is considered). This results in the occurrence of longitudinal slips in the wheel-rail contacts, and therefore also a pair of longitudinal slip forces. The slip forces create torque acting on the wheel set that returns the laterally shifted wheel set back to the centre of the track. Hence, the wheel set is naturally centred in a track (see Fig. 6). Fig. 7 Lateral wheels displacement during vehicle run in a straight track with irregularities When a vehicle with wheel sets is running in a curve, generally three different situations may occur: 1) the wheels roll without longitudinal slips, 2) longitudinal slip force acts on the outer wheel in the curve in the direction of longitudinal movement of the wheel set, on the inner wheel in the opposite direction, 3) longitudinal slip force acts on the outer wheel in the curve against the direction of longitudinal movement of the wheel set, on the inner wheel in the opposite direction. Which one of these three situations occurs depends on the curve radius, lateral shift of the wheel set in the track, wheel rolling radii and their difference. Which one of these three situations occurs has got an influence on the size of the forces acting in contacts between wheels and rails and also on the wheel and rail profile wear. The wheel set in a curve is shown in Fig. 8. Fig. 6 Wheel set laterally shifted in a track Independently rotating wheels are not connected in a torsion way to each other. Thus, they can rotate independently with different angular velocity. When the wheels are laterally shifted in a track, no longitudinal slip forces are generated. Hence, no forces pushing the wheels back to the central position are acting on the wheels. Fig. 9 Wheel set in a curve In a case of independently rotating wheels in a curve, there are no longitudinal slip forces acting in the wheel Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 rail contacts that would influence the wheel and rail profile wear. Three bogie configurations were considered in the calculations: 1) a bogie with two wheel sets, 2) a bogie with two pairs of independently rotating wheels, 3) a bogie with one wheel set (in front – the first in the direction of travel) and a pair of independently rotating wheels. The results of calculations show that the lowest wheel and rail profile wear occurs for these configurations: a bogie with two pairs of independently rotating wheels in a curve of a very small radius; a bogie with one wheel set and a pair of independently rotating wheels in a curve of a large radius. Fig. 9 shows an example of calculation results – profile wear index for the three configurations of a bogie passing a curve of a very small radius. 114 below the main frame near the third axle. . It is located on the main frame longitudinal table and after the longitudinal sides of the bench for operators. The entire vehicle is then covered with lightweight metal roof - see Fig. 10. Fig. 10 Mechanical concept of experimental vehicle The vehicle is equipped with two independent braking systems. Service brake is electrodynamic regenerative brake. Parking brake and emergency brake are hand screw, which is used for third common axle. V. ELECTRICAL EQUIPEMENET THE OF EXPERIMENTAL VEHICLE Fig. 9 Profile wear index for the three configurations of a bogie passing a curve of a very small radius The results of the calculations can be used for designing algorithms for controlling an individual drive of independently rotating wheels. The wheel drive is currently being implemented into the calculation model and will be further developed and optimized. The results will be verified by experiments with the narrow gauge experimental vehicle. IV. MECHANICAL CONSTRUCTION OF THE EXPERIMENTAL VEHICLE The vehicle is designed as a narrow gauge of 600mm. Use of this gauge allows to reduce significantly procurement costs, while offering the possibility to use as a test track Mladějov industrial railway, which is not in a regular week-long operation, moreover, this track has also a very complicated directional and vertical alignments, that are desirable for the experiments. Further construction of the experimental vehicle has been subordinated closer to the tram-type 15T, or rather to one of its bogies. Therefore, the selected three-axle design, where the main element is a rotating bogie, where four wheels are connected by flexible couplings with four traction motors was assumed. Traction motors with the wheels are suspended from the bogie frame by conrods equipped with strain gauge sensors of operating forces this solution will enable to measure the impact of control algorithms, the forces that act on the wheel when driving in a straight line and arc. Said wheel chassis is bound under the main frame, which is partly carried by non powered third axle, realized by standard solid wheel set. On the main frame there is positioned first electrical switchboard, where all electrical equipment of the vehicle is located except traction motors and batteries hanging Because there is no trolley line in Mladějov industrial railway, the vehicle is built as a battery-equipped. With regards to traction drive and the estimated consumption of energy the voltage traction battery 96 V = was chosen. This battery is composed of 8 traction lead-acid batteries of the expected capacity of 150Ah@C5. The wiring diagram is shown in Fig. 11. TBAT traction battery is connected to the main breaker Q. It provides both safe disconnection of all electrical equipment from the vehicle battery and also serves as a emergency switch in case of an accident. As the main circuit breaker it is mounted fuse disconnector F main, staffed with 2x125A/aM fuses, followed by a DC bus to which other circuits are connected. First of all, it is through the circuit breaker FA CH (16A/C) connected traction battery charger the used type is AXIstand 96-25 from the firm AXIMA, which is a CPU-controlled fully automatic charger. Power supply of the charger is realized from the normal network 3x400 V ~ / 50 Hz. Fig. 11 Simplified diagram of the power circuits of the traction electrical equipment Furthermore, on the DC bus the circuit of the self consumption of the vehicle is connected through a circuit Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 breaker FA CTRL (8A/C) . In the said circuit breaker LC filter is connected together with DC-DC converters providing power supply of non-traction circuits. Through a special circuit breaker it is also connected the DC/AC inverter 96 V = / 230 V ~ 50 Hz as a power supply for computers and other devices necessary to ensure test runs. Finally, the DC bus is connected through a circuit breakers FA TP1 ÷ 4 (25A/C) to four traction drives. These are implemented as voltage IGBT inverters. The input capacitors are therefore loaded by auxiliary relays, which are bridged after charging by contactors K 1 ÷ 4. Above the contactors there are then placed current sensors ITP 1 ÷ 4. The inverters are build by common modules from the firm. Semikron, type SK 75 GD 066 T. These modules are again over current sensors connected to traction motors type AKM 74P with integrated position sensors. 115 requirements, but it is also robust enough for use on rolling stock. Its other advantage is its programming in LabView graphical language, resulting in very efficient and intuitive creation of control algorithms including their easy modification. This system will be also used to collect data during the test runs. The structure of the vehicle control system is shown in Fig. 12. VI. CONCLUSION Currently it is done the mechanical part of the experimental vehicle and traction inverters are developed . During the year 2012, it should be the completed the experimental vehicle , so in the following year the driving tests and self-optimizing control algorithms could be done. In 2014 the results of the research should be applied to real trams. We believe that this research project will help to improve the operational characteristics of the mentioned tram as well as to fully exploit the new opportunities that this unconventional method of propulsion offers. For more information about the simulations and experimental vehicle see [3]. VII. ACKNOWLEDGMENT The paper was created within supplement of grant project of the Technology Agency of the Czech Republic TA01030391 "Research driveability and traction drive control of vehicles with independently rotating wheels." REFERENCES Fig. 12 Simplified diagram of the vehicle control system Management at the level of traction drives is realized through four two-desk controllers Škoda, that evaluate the voltage and current waveforms together with the positions of the traction motor rotors and calculate individual power-switching of transistors. Connection between regulators and transistors is realized by a compact exciter Semikron SKHI 61st. As a master controller it is used a modular control system Compact RIO from the firm National Instruments. This system provides due to its modularity imposed [1] J. Novák, O.Černý, Simanek, J. „Control of synchronous motor for light rail traction“, ELECTRIC. 2008, Vol. 18, No. 6, p 4 to 10 ISSN 1210-0889. [2] O. Černý, R. Doleček, J. Novák, J., Šimánek „Energy and performance characteristics of traction drive with synchronous motor with permanent magnets“, XXXI. national conference on electric drives in Pilsen, [CD-ROM]. Czech Electrotechnical Society, 2009, ISBN 978-80-02-02151-3. [3] J. Novák, M. Lata, O. Černý, P. Sýkora, J. Čapek, J. Malinský, J. Mašek, J. Bauer, L. Sobotka: „Design and construction of the experimental vehicle with independently rotating wheels and the results of the relevant theoretical and simulation work“, annual interim report for 2011 of the project TA01030391 "Research driveability and traction drive control rail vehicles with independently rotating wheels", University of Pardubice 2011 Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 116 Climate Change – What Do We Know, What Do We Not Know, and What May Be the Consequences For Electric Overhead Line Systems? Svein M. Fikke Meteorological Consultant – Overhead Lines Lindeveien 1, NO-1470 Lørenskog, Norway. e-mail: fikke@metconsult.no Abstract — The validity of global climate being influenced by emissions of CO2 and other greenhouse gases from human activities is now globally recognized. Although the global temperature is expected to rise, and consequently also precipitation amounts, many secondary effects are still uncertain, concerning for example flooding, storm frequencies, atmospheric icing and so on. However, many electrical utilities around the world are already considering preventive measures for their network, based on the philosophy that proactive measures in the long run are cheaper than taking extra costs for maintenance and repair after expected increases in damage and outage frequencies. Keywords — Global warming, flooding, wind storms, atmospheric icing, forecasting of critical events. Figure 1. CO2 concentrations measured since 1958 on Mauna Loa Observatory, Hawaii (NOAA Earth System Research Laboratory). Red curve is winter-summer fluctuations. I. INTRODUCTION Since the industrial revolution started a century and half ago, and the required energy for the rapid developments of factories and new machines were produced by burning of coal, oil and gas, which consequently resulted in emissions of CO2 into the atmosphere. Figure 1 shows the time series of CO2 measurements from the most cited observatory on Mauna Loa on Hawaii from the start of these measurements in 1958. Due to the greenhouse effect of this and other gases the atmospheric temperature has increased in parallel with the CO2 curve during the same period as demonstrated in Figure 2. Despite series of lively attacks from deniers of human influence on global climate in mass media within many countries, there has been a consensus within scientific communities since 1995 on this relation [1]. However, on the other hand many questions on secondary effects arising from this temperature increase, with respect to other weather elements like precipitation Figure 2. Annual global temperature anomalies (red columns, from 1901-2000 average. Grey columns: error bars.) 1880 – 2011 (NOAA National Data Climate Data Center). intensities and distribution, flooding, droughts, wind storms, hurricanes, tornadoes, avalanches, permafrost, etc., still remain more or less unsolved. The only consequences of temperature rise which are quite likely are that the atmosphere will take more water vapor with increasing temperature and also that the sea level will Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 117 Figure 3. Historical and projected seasonal temperature scenarios for Praha – Klementinum over the period 1900 – 2100. Dots are measured values and thick read line model averages. Pink area represents the error bands of models. Note different scale in DecemberFebruary diagram (upper left). rise. Consequently, there are also very high probabilities for increased precipitation amounts and also precipitation intensity, summer and winter, in addition to higher variability in extremes, both with respect to flooding, drought and fire risk. Although it is not yet possible to detail the developments in extreme weather, an increasing number of scientist reports indicate that severe weather events may increase in parallel with the atmospheric temperature rise. In order to summarize the state-of-art of the scientific knowledge in this field, the UN Intergovernmental Panel on Climate Change (IPCC) recently published a Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaption (SREX) [3]. The main purpose of this report is to raise the attention level among policymakers and stakeholders to potentially exposed areas of the world and to encourage adaption methods and mitigation procedures at an early stage, in order to minimize economic losses and human strains. Based on such concerns numerous electrical utilities around the world are watching this situation closely for the safe operation of their electric grids, as will be exemplified in this paper. Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 II. CLIMATE PROJECTIONS FOR CZECH REPUBLIC The Ministry of the Environment of the Czech Republic has issued a Brochure on effects forming climate change on the Czech Republic [4] where also the power industry is discussed. However, this discussion relates mainly to the production of energy from renewable sources. Many temperature projections are certainly available for the Czech Republic. However, it appeared easier to go through the web site of the Norwegian Meteorological Institute (www.met.no) where temperature projections were presented through Google Earth for hundreds of locations around the world [5]. An example of historical and projected seasonal temperature is shown for Praha – Klementinum over a 200 year period in Figure 3. According to this figure the average temperature in Prague is expected to rise roughly about 3 °C for all seasons during our century. It is unfortunately not yet possible to downscale projections of other weather phenomena to such a degree that they are of practical value for an objective discussion of potential effects on the electric grids. Due to these limitations the further discussion must therefore be generalized and based on experiences and knowledge about how harsh weather do influence the impacts and stability of our electric power overhead line grids. 118 III. SOME CONSIDERATIONS CONCERNING ELECTRIC POWER GRIDS IN THE CZECH REPUBLIC A. General Electric power overhead lines are on a global scale generally subject to impacts from weather related phenomena like: • high wind speeds, • ice loadings (wet snow, rime ice, freezing rain), • lightning, • pollution, • avalanches, • landslides, • flooding • forest and grass fires, • tornadoes and tropical cyclones, • sea level rise • high temperature (thermal rating) • snow depth (lattice towers), • cloudiness (for helicopter based maintenance operations), and • ground water level (foundations). However, it is frequently stated in climate projections that the variability is likely to increase too [3]. This means that, for instance, if the temperature generally increases, cold spells and seasons may very well be as we have always seen, although they may occur less frequently. This applies to any other weather event as well. The IPCC SREX [3] states that: All these weather related elements may be influenced by changes in atmospheric temperature, as briefly outlined in the previous section. Weather elements like lightning, pollution, avalanches, landslides, snow depths on ground, flooding, etc., are subject to national and regional analyses on a broader scale. In this article only atmospheric icing (wet snow and rime ice) can then be discussed in general terms based on experiences and the knowledge about physical processes in the atmosphere. Further details about icing conditions in the Czech Republic are published in the COST Action 727 “Atmospheric icing on Structures”, State of the Art Report from 2007 [6] A changing climate leads to changes in the frequency, intensity, spatial extent, duration, and timing of extreme weather and climate events, and can result in unprecedented extreme weather and climate events. Additionally, some information from other countries is given, based on the author’s current knowledge. For further reading about atmospheric icing the Cigré TB 291 is recommended [7]. Since the winter temperature will remain above the freezing point for a longer time further along the century, it means that there will be on the average less snow fall and hence shorter periods with snow on the ground as well. This is however a global statement, but it emphasizes the fact that it is strongly recommended to look at future climate with an open mind for potential extreme events of a different kind that could not be foreseen from historic experiences forming the area. B. Wet snow As already stated, the average air temperatures during winter are likely to increase by around 3 °C, and accordingly there will be less snowfall on the average, and accordingly fewer events with wet snow in the lowlands of Czech Republic. This may indicate that there Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 In higher altitude areas where dry snow frequently occurs in past decades, the rising temperature may probably lead to more wet snow events, when the snow occurs at temperatures closer to 0 °C, and therefore wet snow accretions may become more likely in the future. If this assumption will be correct, then it is also likely that the design loads (with a certain recurrence period, e.g. 50 years) may increase as well for altitudes above, say, 500 m above sea-level indicator of climatic changes for the combination of temperature and cloud humidity. 25 S tu d n ic e 8 00 m , n = 5 9 -1 Q [kg.m ] will be fewer events with electric disturbances in the grid during winter. However, when wet snow may occur, the disturbances may be just as large and widespread as before. For the design ice loadings it is not possible to conclude on any trend, neither in magnitude nor in frequency for such events. 119 20 15 10 5 0 4 0/41 50/51 60 /6 1 7 0/71 8 0/81 90/91 t (ye ars) Figure 4. The longest continuous time series of ice load measurements in the world. Mt. Studnice, 800 m above sea-level, Czech Republic. Measurements of wet snow are very scarce throughout Europe, except for Iceland [7]. However, it is nowadays getting possible to calculate wet snow from regular weather observations by the use of wet snow accretion models, as has recently been done for the UK [8]. C. Rime ice (in-cloud ice) Following the increasing air temperatures, it is quite certain that clouds will contain more water per unit volume cloud air on a general basis. Following this, it is then very likely that rime icing will increase accordingly for electric overhead lines in mountains which are exposed to such icing. Hence, it is also then very likely that the design values (return period 50 years) will increase as well for electric overhead lines exposed to such icing, unless the temperature increases so much that the zero-isotherm will remain above the altitude of such lines for longer periods. In the Czech Republic we find however the longest time series of ice load measurements in the world. Such homogeneous measurements were taken since 1940/41on Mt. Studnice, 800 m above sea-level. Figure 4 is taken from [6] and shows the large variability of ice loads which has to be expected for such meteorological phenomena. These measurements were initiated by Mr František Popolanský of EGU, Brno, and comprise a unique time series which has been widely shown and discussed on the international arena where atmospheric icing ever was an issue. It is strongly recommended that these measurements are to be continued, since they may also be a very good Figure 5. 39 years of ice loadings measured on 10 test spans in Iceland. In Iceland they have measured wet snow and rime icing on automatic test spans since 1972, and have therefore a time series of nearly 40 years of data from numerous test spans spread over the country. Annual maxima for the 10 spans operated continuously since 1972 until 2010 are shown in Figure 5. It can be seen from Figure 5 that there were some extreme events around the turn of the century, but also a slight increasing trend over the last decade or so. Whether this trend will continue is impossible to say, but the figure shows, similarly to the Czech measurements in Figure 4 that such data will be very important for the future. To know more about rime ice loads it is necessary to monitor such icing on test sites. Atmospheric icing is generally not a topic for regular weather observations, therefore it must be monitored specifically by those for whom this is an economic issue. This applies even more for rime ice than for wet snow, since it is not possible to model rime icing as easily as for wet snow from other regular weather observations. To model rime ice it is basically necessary to scan through long time series of the physical atmosphere states in terms of gridded values of Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 120 all meteorological parameter, as done by regular weather forecasting models. However, modified versions of such weather forecasting models are now available for rime ice studies as shown in [8]. Such models can also be used for studies of historical events as well as for detailed forecasting of adverse weather in the operation phase of electric overhead lines. d. 2. IV. INTERNATIONAL CONCERNS AND ACTIONS The information in this chapter was collected from Cigré colleagues in preparation of the Tutorial at the Cigré Study Committee B2 meeting in Reykjavik 2011 [9]. Individual informants are mentioned for each country below. The lists of items are not complete for most countries, but some highlighted topics of particular attention are listed for each country. 3. 4. A. Australia (Henry Hawes, in collaboration with Energy Networks Association (ENA)) ENA – Key issues are mentioned as follows: 1. Climate change is emerging as a major issue for operation of networks in relation to temperature, heat wave, flooding, wind, and fire weather. 2. Changes in single events (cyclones and flooding) as well as shift in frequency and intensity of weather regimes. 3. Intensity increase of East coast cyclones. 4. Hail risks associated with severe thunderstorm activity in Eastern Australia. 5. Precipitation a. River erosion, flooding b. Mudslides c. Increased corrosion d. Higher frequency and severity of wind and ice storm, and hail storms e. Reduced opportunity for live-line work (due to more rainy days) Wind a. Changes in wind speeds and prevailing wind direction will affect failure rates, recovery time and reliability b. Need to adjust vegetation control practices c. Wind withstand levels of hardware will need to be increased Other effects a. Rising sea level b. Melting permafrost c. Maintenance and structural integrity of transmission lines could be affected d. Increased lightning activities e. Fog increase means more in-cloud icing and reduced line access f. Transmission line ratings could be affected Adaption measures a. Driver for technology developments (robotics, remote sensing) b. Specialized weather prediction c. Modify maintenance and design d. Dynamic thermal rating e. Corrosion resistant material f. Review emergency response g. Probabilistic techniques to assess reliability 5. More frequent and intense droughts and heat waves. 6. Bush fire risk (“Extreme fire weather” may increase with 100-300 days). B. Canada (Dr. Janos Toth, BC Hydro, R&D) Studies are performed in collaboration with Environment Canada, University of British Columbia, Pacific Climate Change Consortium, University of Alberta, and others. Areas for particular attention are identified as follows: 1. Temperature increase a. Beetle infestation b. Drier summers (fire risks, slope stability) c. Woodpeckers Changes to energy and peak load consumption patterns C. Norway (Svein M. Fikke, with input from the Norwegian Meteorological Institute (met.no) and the Norwegian Geotechnical Institute (NGI)) Norway is a coastal country, stretching from 58° to more than 71° N, with the warm North Atlantic Current along its coast. The climate varies from temperate in the south to arctic in the north. The climate predictions for Norway Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 depend also on the routes of the extra tropical cyclones, how often they will go south of Norway (into the Skagerrak Sea) or northwards along the coast. However, the following scenarios are likely: 1. Atmospheric icing depends on wet snow and rime ice 3. D. United Kingdom (Dr Brian Wareing, Brian Wareing.Tech, in collaboration with UK Met Office) Some examples of diagnostics are: 1. Evaluating the change in risk of high wind and wet snow accretion on overhead conductors a. North Norway – More wet snow inland, little rime ice 2. Estimating the change in rating associated with low wind and high temperature b. Along the coast (southwards from N. Norway) – Less frequent wet snow little rime ice 3. Calculating the change in the seasonality of demand due to, for example, increased use of air conditioning c. Central mountain range – More frequent wet snow and higher extremes, less rime ice below 900 m above sea level , more rime ice above 900 m above sea level d. 2. 121 SE Norway – More frequent wet snow, rime ice only above 1 000 m above sea level E. CIGRÉ In the Technical Brochure 291 [3] Cigré WG B2.16 states the following concerning atmospheric icing in general terms: Avalanches a. Transition from dry to wet snow avalanches below 800 – 1 000 m above sea level b. Higher areas – More snow and dry avalanches give longer discharge ranges c. Known avalanches will increase in size d. More often wet snow avalanches and mudslides due to more and intense rainfall e. “Safe” areas may become unsafe 1. Coastal areas: More seldom wet snow in lowlands, may be more in the mountains 2. Inland areas with cold climate: Wet snow may increase in frequency and intensity at all elevations 3. Mountain areas: Risk of rime ice may decrease in lower levels and increase in higher levels 4. Freezing rain: Not possible to evaluate yet. Operation and maintenance a. Large parts of the transmission system pass through exposed mountain areas b. Helicopter is often the only tool to access such lines, especially in winter c. Higher frequency of low clouds and extreme weather will reduce weather windows for maintenance Russia (Sergey Chereshnyuk. VNIEE) Russian topics of concern are 1. Temperature increase of about 5 °C in Russian arctic regions already recorded 2. Serious damage to buildings due to melting permafrost 3. Permafrost area reduction of 15-30 % (by 2050) 4. Flooding and landslide 5. Wind loads will decrease in some regions and increase in others V. CONCLUDING REMARKS As mentioned in the Introduction, there are many questions and research issues which still remain unsolved. Also, among the more settled issues there are still a lot of smaller or bigger uncertainties which are subject to lively discussions in the scientific communities. In particular, major uncertainties remain as to the development of greenhouse gas emissions around the world. It may seem frustrating that there is so little development in international agreements and binding actions to stabilize and reduce emissions on a global scale. However, on the other hand, there are more encouraging actions in the other end, with respect to topic like cleaner electricity production (especially solar and wind), use of electric cars, energy conservation, reduced energy demands in buildings (private, public and industrial), public transportation, recycling of materials and resources etc. Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 Similar movements are going on around the globe, and it may be so well that the “down-top” actions will in the end work better than “top-down” actions and regulations. In these matters neither USA nor China should be disregarded. Such activities are driven by public demands. People do not like to live any more in houses or flats with high energy demands for heating, for instance. And they don’t want to drive cars in densely populated cities. Therefore it is always also important to be ahead of the development in order to ensure future markets and demands. As a conclusion of this paper some key points may be noted: 122 “Climate Change Adaption Planning – an update for the Power Industry. Special Focus: Lessons learned from Extreme Weather & Natural Disasters” and ”New Planning Practices Considering Renewable Resources Integration and Distributed Energy Resources”. Papers from these sessions may be available from IEEE – PES. ACKNOWLEDGEMENTS In writing this paper the author has relied heavily on scientific and technical input from friends and colleagues from recent and earlier times of collaboration. Here the author wants to thank in particular (alphabetic order) R. Benestad, The Norwegian Meteorological Institute (met.no), S. Chereshnyuk, VNNIE, Russia, Á.J. Eliasson, Landsnet, Iceland, H. Hawes, Australia, F. Popolanský, EGÚ Brno, Czech Republic, professor H.M. Seip, Cicero, Norway, E. Thorsteins, EFLA, Iceland, J. Toth, Enginomix Consulting Inc., Canada and J.B. Wareing, Brian Wareing.Tech. Inc, UK. • Evolution in the global climate must be accounted for. • There are no significant indications in storm and tornado frequencies yet. Probably this applies to lightning as well. • Consider cheap actions before you are forced to take on the expensive ones. • Consider life time of ohls in relation to time [1] scales for climate change. • Notify and file events in your grid. As electric grids may become more vulnerable to adverse weather, it should also be emphasized that the options of detailed and on-purpose weather forecasts are developing rapidly. The Cigré Session paper 2012 [8] demonstrates some applications for such models. However, it is more up to the utilities to ask for developments in such technologies to improve the reliability in the operation of their networks. REFERENCES Oreskes, N., Conway, E.M.: Merchants of Doubt. How a Handful of Scientists Obscured the Truth on Issues from Tobacco Smoking to Global Warming. New York, Berlin, London: Bloomsbury Press, 2010. [2] University of Colorado, http://sealevel.colorado.edu [3] Intergovernmental Panel on Climate Change (IPCC): Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaption (SREX), Summary for Policymakers. Cambridge University Press, Cambridge, UK and New York, USA, 2012. [4] http://www.mzp.cz/en/climate_change_brochure [5] http://met.no/Klima/Fremtidsklima/Klima_om_100_ar/Hele_verden /Ny+og+bedre+tilgang+til+klimascenarier.b7C_wlrSWW.ips (In Norwegian) Finally, it is important to note that potential challenges [6] for electric production and transportation systems are continuously dealt with by organizations and groups like Cigré and IEEE, in addition to the countries mentioned above. Cigré has established a new WG B2.54 “Management of Risk Associated with Severe Climatic [7] Events and Climate Change on Overhead Lines”. This was established in 2011 and will end in 2014. This WG is [8] convened by Henry Hawes, Australia. IEEE Power and Energy Society (IEEE – PES) has [9] established the “IEEE Climate Change Technology SubCommittee” (CCTSC) to deal with such issues. More information can be found on their web site: https://collaborase.com/ieee-cctsc Fikke, S.M., Ronsten, G., Heimo, A., Kunz, S., Ostrozlik, M., Persson, P.-E., Sabata, J., Wareing, B., Wichura, B., Chum., J., Laakso, T., Säntti, K., Makkonen, L.: COST 727: Atmospheric Icing on Structures. Measurements and data collection on icing: State of the Art. Veröffentlichung MeteoSchweiz Nr 75, Zürich, 2007. CIGRÉ WG B2.16 TF03: Guidelines for meteorological icing models, statistical methods and topographical effects. CIGRÉ Technical Brochure 291, Paris, 2006. Fikke, S.M, Nygaard, B.E.K., Horsman, D., Wareing, J.B., Tucker, K.: Extreme weather studies by using modern meteorology. Session paper B2-202, CIGRÉ 2012. Fikke, S.M.: Tutorial on Climate Change. Cigré Study Committee B2 meeting. Reykjavik, July 2011. During the IEEE – PES General Meeting in San Diego The contribution was presented on the conference ELEN 2012, PRAGUE, CZECH REPUBLIC (July 2012) the CCTSC managed two sessions entitled: Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 123 Optimal Parameters of Load-Center Supply System for Peripheral Districts of Big Cities Svetlana Akchurina 1), Valeriya Tuzikova 2) and Josef Tlusty 3) Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Electrical Power Engineering Technická 2, 166 27 Prague 6, Czech Republic, k315.feld.cvut.cz 1) ak4ur@mail.ru, 2) tuzikval@fel.cvut.cz Abstract — This paper is devoted to the analysis of parameters of a city power supply system, which is performed using a high voltage load-center supply system, taking into account modern tendencies of development of big cities. A distinguishing feature of modern society development is a constant growth of a number of big cities and their population, as well as development of power supply for both utilities and industrial area. Such a development of cities and utilities goes along with significant growth of power consumption which requires new power sources. It’s essential to foresee the construction of power sources such as high voltage load-center supply systems (LCSS). It was created a unique topology and technoeconomical model of the load-center supply system for peripheral districts of big cities. Based on the formed techno-economical model it was carried out a technoeconomical analysis of the load-center supply systems feasibility and optimization of its parameters. Results of the research and their analysis are shown in the presented article. The load-center supply system is a compulsory element of the power supply systems of big cities. In addressing the optimal implementation of the power supply system in peripheral areas of large cities it is required examination of the topological characteristics of the districts and the schemas of their power supply. The obtained results allow us to make decisions for the construction of a loadcenter supply system for peripheral districts of the city, and also to choose the optimum site for the construction of the load-center substation regarding to the power source. Keywords — Load-centre supply system, technoeconomical model, power supply systems, topological characteristics. I. INTRODUCTION A distinguishing feature of modern society development is the constant growth in the number of big cities and their populations, as well the development of power supply to both utilities and industrial area. Such development of cities and utilities sees an accompanying significant growth of power consumption. For example, in Moscow from 2000 to 2010 the power consumption increased from 38 to 53 bn. kWh, and according to forecasts by the year of 2025 it can reach 96 bn. kWh. [1] Such high consumption growth rates require new power sources. It’s obvious that it’s a significant problem to build new power plants within the city boundaries. It is also not quite possible to transmit the required amount of electric power from the remote sources to consumers through 10-20 kV grid. That’s why it’s essential to foresee the construction of power sources such as high voltage load-center supply systems (LCSS). This fact leads to the necessity of researching economically the efficient construction of load-center supply systems as well as defining and calculating their parameters. In the precedent research examples [2-6 etc.] mainly LCSSs involved into city centers were examined. But under the modern conditions of expansion of city territories the construction of LCSSs in new peripheral districts located not far from the external power sources becomes a reality. II. TOPOLOGICAL CHARACTERISTICS. In this case it is more reasonable to supply a section of consumers directly from the external power source through the medium voltage grid. That’s why a new topology model of the power supply system was designed for big city districts receiving power supply from both an external power source and a radial load-center line (Fig.1). The distribution of electricity from LCSS is produced by magistral cable medium-voltage lines, as each line feeds the same number of transformer substations, which in turn have the same power and is also equally spread throughout the district territory [2]. A low voltage network is also equally spread. One of the main issues of LCSS planning is the optimal location of the load center substation (LCS). Therefore, in addition to power of LCSSLCS the following parameters as optimum parameters were considered: Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 124 b LLCS LPS Power source LCL a LCS DLMV Fig. 1: Topology model of power supply system of peripheral district of a big city from an external power source and a radial load-center system LPS% – distance from the power source to the boundary of a part supplied from LCS, expressed as % of district side band, LLCS% – distance between LCS and the boundary of a part supplied from LCS, expressed as % of the part length. LCS – load-center substation, LCL – load center line, DLMV – medium voltage dual-circuit transmission line, a,b – dimensions of a district, LPS – distance from power source to the boundary of a part supplied from LCS, LLCS– distance between LCS and the boundary of a part supplied from LCS. III. DEFINING THE OPTIMAL PARAMETERS OF LOADCENTER SUPPLY SYSTEMS. While defining the optimal parameters of load-center supply systems in this research, as an optimum criteria was taken a minimum of discounted costs CdΣ for the accounting period Ta: Ta С d ∑ = ∑ (I t + C t − Vt ) ⋅ (1 + E ) −t (1) t =1 It, Ct – investments for the construction of the object and the total cost of its operation in year t, Vt – residual value of the object at the end of the accounting period (t = Ta), E – discounting norm. The following techno-economical models were considered: • Discounted costs of LCS - CPS; • Discounted costs on the line LCL - CLCL and substation LCS- CLCS; • Discounted costs of an external source - CmvPC and discounted costs on medium voltage lines - CmvLCS: CdΣ= CPS + CLCL + CLCS + CmvPC + CmvLCS (2) As a result we obtained the expression for the discounted costs depending on the optimized parameters. This expression was the criterion function during LCSS parameters optimization. Alpha Implementation of the power supply system of the city with the application of LCSS fundamentally changes the structure of the urban power grid and increases the cost of its construction and operation. Therefore it was carried out a techno-economical research of feasibility of LCSS construction in the city, using the resulting model of discounted costs. It assessed the optimization of the parameters of LCSS for districts with a surface density load σ = 5 MVA/km2 and more, ranging from 3 to 16 km2 (district square area in Moscow [8]) with different aspect ratio of the district, while defining the boundary values of σ and geometrical parameters for which the real solution is possible. By the results of calculations we constructed nomograms of feasibility of LCSS for peripheral districts of cities, which are presented in (Fig.2.) According to the obtained nomograms we can define a particular peripheral district with the corresponding geometric parameters, and Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 125 a) rated voltage of LCSS 110 kV and b) 220 kV Fig. 2: Nomograms of economic feasibility of LCSS surface density load, for which it is necessary to make a construction of LCSS. Analyzing the diagram it was concluded: 1) Construction feasibility of LCSS in the peripheral area of the city depends on its geometrical parameters: the values and the ratio of its length b and width a; 2) LCSS is inappropriate to construct at depth (length) of district b (deep into the city) less than 1.8 km; 3) With the increase of the surface density load, the district area is reduced, for which is advisable to make power supply system with application of LCSS. LPS % ,% Based on the formed techno-economical model the optimization of the LCSS parameters has resulted. According to the results of the optimization there was constructed dependence of optimized parameters SLCS, LPS%, LLCS% on the surface density load σ, the geometric parameters of the district a, b, and their ratio a/b for a district square area ranging from 3 to 16 km2. Fig. 3 presents as an example the results of optimal parameters of 110-220 kV LCSS for peripheral district having an area of 10 km2. By analyzing these relationships the following results were obtained: 1) Optimal power values of LCS for peripheral district of the city is 80 MVA and more, for rated voltage S LCS ,MVA LLCS % ,% σ, MVA km 2 σ, MVA km 2 a) rated voltage of LCSS 110 kV LLCS % ,% LPS % ,% σ, − a : b = 3 :1; MVA km 2 − a : b = 2 :1; σ, σ, MVA km 2 S LCS ,MVA MVA km 2 b) rated voltage of LCSS 220 kV − a : b = 1 : 2; − a : b = 1 :1; σ, − a : b = 1: 3 Fig.3: Results of optimal parameters of 110-220 kV LCSS for the peripheral district in an area of 10 km2 MVA km 2 Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 of LCSS 110 kV and 126 MVA and more, for voltage 220 kV depending on the value of the surface density load. The maximum power value of LCSs that are constructed in large cities of Russia is 400 MVA. Due to the results that we obtained, SLCS reaches values of 600700 MW. Consequently, for the peripheral districts of big cities it is appropriate to include the magistral LCSS. This statement makes an interest for the further research. 2) For the districts of 3 to 16 km2 and load density 20 to 50 MVA/km2 it is reasonable to locate LCS at a distance of 20-45 % of district side b; This fact is explained by the interaction of two competitive effects. When the distance between PS and LCS grows the part of the district supplied directly from PS increases as well, and the part supplied from LCS decreases. As a consequence, on the one hand, LCS construction, operation and losses coverage costs decrease and also the costs of medium voltage grid of LCS decrease as well. On the other hand construction costs of medium voltage grid supplied directly from the power source grow. Length of the load-center line grows, and, correspondingly, its costs grow as well. 3) The optimal location of LCS from the supplied part is 5 to 40% of part length; The increasing importance LLCS% with increasing of the surface density load and the size of the district area is because of the increasing costs of construction, operation and compensation for energy losses in medium-voltage network. The total length of medium voltage lines has a minimum value in the location of LCS in the center of the loads feeding by the part of this district. But it must be kept in mind that the closer the location of LCS to the center of the loads, the greater the length of the load center line. 126 In addressing the optimal implementation of the power supply system in peripheral areas of large cities it is required examination of the topological characteristics of the districts and schemas of their power supply. The obtained results allow us to make decisions for the construction of a load-center supply system for peripheral districts of the city, and also to choose the optimum site for the construction of load center substation regarding to the power source. ACKNOWLEDGEMENT Financial support of the Ministry of Education, Youth and Sports, through grant number MSM 6840770017, is highly acknowledged. REFERENCES [1] The Moscow Government Decree №1075-ПП, «The energy strategy of Moscow up to 2025». [2] Glazunov A.A, Kuznetsova T.A, Fedoseev A.A.; Cost-effective voltage and the power of the deep-lead in the cities / / Electricity.1983. №2. [3] Glazunov A.A., Utkina E.G.; Analysis of the optimal capacity of 110-220 kV load-center supply system of big cities / / Vestnik MEI. 1998. №5. [4] Glazunov A.A., Leschinskaya T.B., Shvedov G.V. Multicriteria optimization of load-center supply system of cities, taking into account the uncertainty of the electrical loads. Agrokonsalt, 2005 [5] Development of proposals for the optimal structure of the nominal voltage and power substation networks of 110 kV and above of power supply system of Moscow and Moscow region up to 2010 / / Report on the research. MEI.1987. [6] Kozlov V.A. Power supply systems of cities. Energoatomizdat.1988. [7] Reference for design of electrical networks / under. Ed. D.L Faibisovich. ENAS, 2012. [8] The territorial office of the Federal State Statistics Service in Moscow // Indicators of municipalities (2010) / / Section 6. Territory. The total land area of the municipality. IV. CONCLUSION The load-center supply system is a compulsory element of the power supply systems of big cities. Consequently, we need to research their optimal parameters. The contribution was presented on the conference ELEN 2012, PRAGUE, CZECH REPUBLIC Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 127 The Possibility of Electronic Equipment Cooling Roman Janiš 1), Jan Kuba 2) Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Electrotechnology Technická 2, 166 27 Prague 6, Czech Republic, technology.feld.cvut.cz 1) janisrom@fel.cvut.cz 2) kuba@fel.cvut.cz Abstract — Cooling has a large and irreplaceable importance in electronics and its solution is a part of the technology design and construction of any real device. Due to the progressive miniaturization and increasing performance we can meet cooling more often in consumer electronic products. In addition to many well-known conventional methods of cooling there is a possibility to use a high-capacity heat transport device - heat pipe. A disadvantage in some applications is the restriction of the possibility to control the thermal conductivity. The authors have dealt with so far little explored possibility of control using an external magnetic field with magnetic fluid as the heat pipe workload. The system is reversible in terms of control and uses the unique features of magnetic fluids. other. The heat pipe is in principle a closed two-phase system in which heat transfer is realized by continuous and rapid circulation of steam and liquid phases and phase transformations of each other – evaporation and condensation of working fluid. One end of the tube is usually thermally and mechanically connected to the heat source and the other end ensures removing of the heat transferred by tube. Liquid evaporates in the evaporation section and in form of steam flows into the condenser section, where in contact with the inner surface of the tube cooler condenses to a liquid phase. The liquid condensate then runs down or flows on the walls tube back into the evaporation section. Keywords — Cooling, heat pipe, magnetic fluids, thermal conductivity. I. II. ONE OPTION IS HEAT PIPE Heat pipe elements are intended for highly efficient transport of heat, a intense development was stimulated in the middle of last century, particularly in connection with the space programs in the U.S. where they had to be dealt with problems of heat transport in the specific space conditions (high vacuum, weightlessness). Currently, INTRODUCTION Heat transport (in terms of physical nature) is done by three basic mechanisms – conduction, convection and radiation, which are in most cases combined with each 0-15 min.: B=0T 16-18 min.: B=0,5T 18.5-22 min.: B=0T 22.5-25.5 min.: B=0.5T te m p e ra tu re d iffe re n c e b e tw e e n th e e n d s o f th e tu b e (o C ) 25 20 19,9 18,2 15 14,3 13,7 10 9,8 5,1 4,7 5 4,7 2,8 2,5 1,7 0 0 1 8,5 7,8 6,8 2 3 5 7 10 1,6 4,3 1,6 1,5 12 15 4,2 1,5 0,7 0,6 16 16,5 17 17,5 18 18,5 19 19,5 20 time (min) Fig. 1: Temperature difference between the ends of the tube 0,4 0,2 21 1,8 22 22,5 23 23,5 24 24,5 Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 heat pipes have a common alternative to conventional methods of the heat transfer in many devices used in various areas of life. Outwardly, the heat pipe behaves as a solid body made of a material of extremely high thermal conductivity λ (of the order to 104 Wm-1K-1), significantly higher than for example copper (380 Wm1 -1 K ) and is able to transfer heat so intensive even at relatively low temperature gradient. Due to its simple construction, reliable operation, the availability of a suitable type and price, heat pipes are used now in a wide area of applications, such as elements of power electronics cooling, heat recovery, ensuring of the thermal dynamics of selected technological and biological processes, cooling, solar panels and many others. III. THE DESIGN AND TYPES OF HEAT PIPES In heat pipe called as gravitational the condensate is transported by earth gravity. The working substance in the liquid phase flows down the walls of the tube in form of a thin film to evaporator section. Precondition of functionality for this type of the tube is a configuration with a warm end placed below the cool end of the tube. The tubes can be oriented vertically or at an angle, the performance of the heat pipe in this case is influenced by the slope and specific weight of the condensate. In case of capillary tubes their function is not significantly depending on the orientation in a gravitational field, since the condensate is transported mainly by capillary pressure, resulting in contact of the liquid phase and a suitably chosen capillary system. In this case, along the inner wall of the capillary tubes the system is located, usually consisting of a groove system, sieves and fibers. To increase the heat output of tubes it is sometimes used a combination of several types of capillaries, such as grooves in the tube wall and several layers of sieves. Although the capillary tubes compared with the gravitational ones are more complicated, there are today the most widespread in many applications mainly due to ensuring functionality in all positions. IV. EXPERIMENTAL HEAT PIPE WITH CONTROLLED HEAT TRANSPORT BY MAGNETIC FIELD A. Description and characteristic This is an experimental gravity type heat pipe which, can operate in a uncontrolled mode - that is the maximum heat transport (maximum equivalent thermal conductivity) or under a control with external static magnetic field - that is the limited transport of heat (lower thermal conductivity equivalent). The working substance in this case is the magnetic fluid in form of dispersions composed of pure water and specially prepared Fe2O3 nanoparticles. The present sample uses unique properties and behavior of magnetic fluid in a magnetic field for 128 effective influence of the continuous opposite flow intensity of steam and condensate between the ends of the tube where the heat is conveyed (evaporator) and where heat is removed outside. Application of an external magnetic field of sufficient level (induction B) in properly selected position between the evaporator and condenser of vertically placed tube caused an imbalance between the amount of evaporated and condensed returning substances. It causes a disruption of the continuity of the internal flow, which is externally indicated by a temperature difference between evaporator and condenser - temperature will increase (decrease the equivalent thermal conductivity of the tube). Based on this principle it is possible to control, using an external magnetic field, temperature between the evaporator and condenser or almost interrupt thermal binding between one part and the second part of the tube (evaporator - condenser) - it looks as the "thermal key". The situation is well illustrated in Fig. 1, where the difference between evaporator and condenser heat pipes on time is drawn in the dependence of the measured temperature. It is illustrated gradually for 4 situations where the external magnetic field was not applied along the tube (B = 0 T) and when it was applied (B = 0.5 T). Measurements were performed at ambient temperature + 22.8 °C, with attached external thermal insulation and with natural cooling by surrounding air. B. The arrangement and main technical parameters • Case is made of clear glass tube. On the bottom side is the evaporator with an external resistive heating, on the upper side is the condenser with an external cooler. Temperature is measured by a thermocouple type K. • Tube length is 350mm, tube diameter is 9mm, glass thickness is 1mm. • Induction of a permanent magnet is B = 0.5 T (two magnets NeFeB against each other, dimensions 40x20x10 mm, gap width 12 mm). • Pipe heating power is 10W. • Operating temperature range is about +20 ° C to +70 º C. • Working substance is water + magnetic fluid Ferrotec with the proportion 1:1, the total quantity of the working fluid is 2.5 ml. • Operating pressure in the tube is about 2.5 kPa. The actual appearance of the equipment is shown in Fig. 2. A detail of the tube inserted in the magnetic field during heating is shown in Fig. 3. Circulation of the workload is interrupted at this location. Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 129 V. CONCLUSION In this paper the authors describe realized functional sample of the thermal heat pipe which is an original contribution to the development of new types of heat pipes with improved properties and to other magnetic fluid usability in practical applications. There were verified the functionality of the sample in experiments but there were not solved purely operational matters such as reliability and durability. Using magnetic fluid as the working fluid in heat pipes with controlled heat transport is minimally explored area, but due to the possibilities of a widespread use in practical applications, a very promising area. ACKNOWLEDGEMENT This paper is based on the research program for students No. SGS12/ 065/ OHK3/ 1T/13 “Magnetic fluids and possibilities of using” of CTU in Prague. REFERENCES [1] [2] Fig. 2: Actual appearance of the equipment [3] [4] [5] Cingroš, F., Hron, T., Kuba, J.: Magnetic Field Control of Cryogenic Heat Pipes. In Proceeding of the International Conference ISSE 2009. Brno (Czech Republic), 2009. Ueno, S., Iwaki, S., Tazume, K.: Control of Heat Transport in Heat Pipes by Magnetic Field. J. Appl. Phys., Vol. 69 (1991), No. 8, p. 4925 – 4927. Cingroš, F., Hron, T.: Working Fluid Quantity Effect on Magnetic Field Control of Heat Pipes. In Acta Polytechnica, Vol. 49, No. 23/2009, ISSN 1210-2709, p. 44-47. Cingroš, F., Hron, T., Kuba, J.: Investigation and Diagnostic of Magnetic Control of Cryogenic Heat Pipes. In Electroscope, No. 5/2011, ISSN 1802-4564, ZCU Plzen. Kuba, J., Cingroš, F: Experimental Heat Pipe Controlled Heat Transport by Magnetic Field, Registered Functional Sample No. 13113/5/2011, CTU in Prague, Faculty of Electrical Engineering, Department of Electrotechnology. Fig. 3: Detail of the tube in the magnetic field The contribution was presented on the conference ELEN 2012, PRAGUE, CZECH REPUBLIC Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 130 Model Based Design of Electric drives Jakub Vonkomer 1), Milan Žalman 2) 1) Institute of Control and Industrial Informatics, FEI STU, Bratislava, Slovakia, e-mail: jakub.vonkomer@stuba.sk Institute of Control and Industrial Informatics, FEI STU, Bratislava, Slovakia, e-mail: milan.zalman@stuba.sk 2) Abstract— Electric drives are probably the most widely used electronic devices in the industry. The development process of the drives is very time-intensive, but there are many methods to reduce the development time. In this paper, the development of vector control of induction machine using Simulink is presented. Firstly, the creation of the simulation model is described; then the same model is used for code generation. We used the dSpace platform; however, any platform supported by Matlab/Simulink can be used as well. Finally, the comparison of results between simulation and real motor is presented. Keywords— AC drive, vector control, simulation, Simulink, Code generation, dSpace. iˆS φ Ψ̂r is2 Fig. 1. Vector diagram of stator current and rotor magnetic flux 2 β iˆS development 1 Ψ̂r υs I. INTRODUCTION is2 The development process of electric drives is itself usually very time-intensive. Simulations can help, but it also takes a lot of time to transform the model to the final code. Manual code writing of the control algorithms introduces a lot of bugs and errors. Some of the bugs even require many hours to be fixed. However, there is no need to do it in this way nowadays, because of the MATLAB code generation possibilities. In our case we used the Real Time Workshop for generating code for dSpace. The generated C code is then compiled and downloaded to the dSpace processor and can be immediately executed. However, there are many platforms supported, manufacturers like Analog Devices®, Atmel®, Freescale®, Intel® or Texas Instruments® are no exception. This process of the design and development is called “Model Based Design” and is widely propagated by Mathworks Inc., the creators of Matlab. II. VECTOR CONTROL Vector control is a well-known induction motor control method. It allows high-performance control of electromechanical variables like torque, speed, position in both steady and transient states. Main principle of the vector control is the decoupled, independent control of magnetic flux and torque. There are plenty of methods of vector control, but we will focus on the rotor-flux-oriented vector control. The control law can be derived from: ˆ × iˆ ,where k = 3 p′ Lm M m = km Ψ r s m 2 Lr is1 (1) is1 α Fig. 2. Vector diagram of the IM state variables Fig. 3. Simplified flow chart of the vector control All the controllers and estimators are derived from the mathematical model of the induction machine [1]: dψˆ s (2) + jωkψˆ s uˆ s = Rs iˆs + dt d ψˆ r (3) 0 = Rr iˆr + + j (ωk − ω )ψˆ r dt 3 L (4) M m = p′ m ℑ{ iˆs ⋅ψ r*} 2 Lr (5) ω = p ' ωm d ωm (6) dt The structure of all controllers is PI and they are designed by the pole-placement method. All systems are derived from the linearized induction machine model and are described by first-order dynamic equations. Mm − Mz = J 1) Current controllers: Design of current controllers is derived from the following transfer function: i (s ) i S 2 (s ) 1 / R1 (7) G S (s ) = S 1 = = u S 1 (s ) u S 2 (s ) T1 s + 1 Final current controller parameters are achieved using the following equations ( ωo is desired dynamics, b desired damping): Kp 1 (8) Ti = K p = 2b1ω01 − R1 ⋅ T1 2 ω R T T 1 1 01 1 Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 2) Flux controller: Design of flux controller is derived from the following transfer function: Lm Ψ (s ) (9) G S (s ) = r = i S 1 (s ) Tr s + 1 Final flux controller parameters: 1 K p = 2b2ω02 − T r Tr Lm Ti = K p Lm 131 information and error flags. This block will be later copied to the dSpace code generation model only. Figure 4 shows the main window of the simulation SimPowerSystems model. (10) Trω02 2 3) Speed controller: Speed controller is designed from the knowledge of the mechanical parameters. Transfer function: L ω (s ) 3 1 (11) G S (s ) = = ⋅ p'⋅ m ψ r ⋅ i S 1 (s ) 2 Lr Js + B Final equations: L 3 K p ⋅ ⋅ p '⋅ m ψ r Lr 2 ( 2b3ω03 J − B ) Ti = (12) Kp = 2 J ⋅ ω03 Lm 3 ⋅ p '⋅ ψ r 2 Lr 3) Flux weakening controller: Flux weakening is necessary for achieving speeds higher than rated motor speed . However, the design of the flux weakening controller is out of scope of this paper. In general it is a voltage controller which is activated when the voltage is close to voltage saturation. This controller decreases the flux to reduce the back-emf, allowing highspeed motor operation. Instead of the voltage controller, feed-forward methods can be used as well, but they usually provide lower robustness. 4) Flux estimator: Flux estimator is the heart of the vector control, because of the control algorithm oriented into rotor magnetic flux reference frame. That is one of the reasons the vector control is often called “Field Oriented Control”. Following equations describe the presented flux estimator (indirect vector control[2][3]). 1 L (13) sψˆ r = − ψˆ r + jωψˆ r + m iˆs Tr Tr ψ% r = Lm is1 Tr s + 1 (14) ω% sl = Lm is 2 Trψ% r (15) III. BUILDING THE SIMULATION MODEL The aim of the project was to develop the speed vector control of induction machines with the speed feedback from the speed sensor (incremental encoder in our case). Our primary platform for developing and testing purposes was Simulink with SimPowerSystems toolbox[5]. We used the model of induction machine, three phase power supply and many other power electronic blocks for close-to-reality simulation of the drive [6]. The basic block is the “VECTOR CONTROL” block, which contains all the controllers, observers, state Fig. 4. Screen capture of the simulation model Figures 5, 6, and 7 show the inner connections of selected blocks. The model is purely discrete with sample time of 200 µs. All the blocks are part of Embedded MATLAB subset[7], so there should be no problem with the code generation. Sample time for simulating the electronics has been chosen as 10 µs, but for a high quality simulation of the hardware as well, lower values are better. Constant blocks for parameters instead of gain blocks are preferred. Variables inside the constant block may be configured as exported variables as part of global structure or as global variables as well. These variables may be read or written by the user code. In this way, it is possible to change the behavior of the model on the fly. The entire model is based on IEEE 754 single precision floating point numbers (32 bit), to make this model faster in execution and to allow easy porting to any target with floating point numbers support. Usually, for an application like control of power electronics; the precision of 32 bit floating numbers is pretty enough. For connecting the signals executed in different subsystems or sampled in different time, Rate transition blocks may be used. However, this often involves additional operations for the Simulink to ensure proper sampling of the variables; therefore global variables (Data Store Memory blocks) are recommended [7]. Fig. 5. Screen capture of the VECTOR CONTROL Block Fig. 6. Screen capture of the inverter block Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 132 However, the behavior of data integrity can be detected; it depends on the configuration of the model. Fig. 7. Screen capture of the current controller block IV. USING THE MODEL FOR CODE GENERATION The already tested simulation model can be easily used for code generation purposes. The main block from simulation model is copied to the code generation model. Nevertheless, the main task for the code generation model is communication with the target platform hardware. This task requires special blocks, unique for every platform; therefore it is required to look to the specific documentation. As result, instead of complicated timeintensive rewriting model to the C code, we developed the program in Simulink, added the platform interface, then built and executed the finished model. We use the laboratory dSpace 1104[4] for testing the model. DSpace board allows real-time control of different systems. Its main advantage is integration into the MATLAB/Simulink environment. Model is executed and controlled via the ControlDesk application. It is also very easy to export any graphs as MATLAB´s MAT files. As mentioned earlier, constant blocks can be easily tunable, they might be configured as inputs in the ControlDesk applications and its value can be changed on the fly. The same is applied for the code generation for the other platforms. For other platforms, designer of the model can decide whether the variable will be tunable from the user code by selecting the variable from Simulation->Configuration Parameters, Optimization, Configure. Fig. 9. Screen capture of the proposed dSpace model Models for both simulation and code generation are pretty similar as can be seen in figure 9. Instead of induction machine and inverter blocks, the block of communication with an inverter is used. Inputs represent reference voltages. The communication block with inverter contains the compensation of DC voltage fluctuations and the computed duty cycles are inputs for the dSpace PWM block. Figure 10 shows the basic schema of the dSpace controller board to the frequency converter connection. Fig. 10. Schema of connecting dSpace equipped PC with frequency inverter and induction motor V. COMPARISON Figures 11-14 show the comparison of simulation and real behavior of the modeled system. Wide range of speed is demonstrated. Small differences and noise in dSpace figures are caused by non-calibrated current sensors, but indeed we can say that we reached comparative results within the toleration. Speed: dSpace - w* = 0-20-40-60-80-100 rad/s 120 measured reference 100 Fig. 8. Screen shot of variable configuration in Simulink angular speed [rad/s] 80 By using global variables defined by Data Store Memory blocks, several advantages are gained. These variables can be easily read (and written) in the custom code; they always have the same name as defined in Simulink. However, in contrast to signals transferred over Rate transition blocks, no data integrity is guaranteed so data might be for example written three times and read just once, so some information can be easily lost. 60 40 20 0 -20 0 0.5 1 1.5 2 time [s] 2.5 3 3.5 4 Fig. 11. dSpace experiment: steps of the reference speed up to 100 rad/s Transactions on Electrical Engineering, Vol. 1 (2012), No. 4 133 VII. APPENDIX 1 DESCRIPTION OF SYMBOLS AND ACRONYMS USED IN THIS Speed: Simulation - w* = 0-20-40-60-80-100 rad/s 120 measured reference 100 PAPER angular speed [rad/s] 80 Symbol 60 40 20 0 -20 0 0.5 1 1.5 2 time [s] 2.5 3 3.5 4 Fig. 12. Simulation: steps of the reference speed up to 100 rad/s Speed: dSpace - w* = 10 rad/s to -10 rad/s 15 measured reference angular s peed [rad/s ] 10 5 ωm ωsl p’ σLs Ls Lr Lm Rs Rr R1 T1 Tr J Mm Mz iˆs û s 0 ψ̂ r Description motor angular speed slip speed number of pole pairs stator leakage inductance stator winding inductance rotor winding inductance mutual inductance stator resistance rotor resistance combined resistance (R1=Rs+Lm2/Lr2*Rr) current model time constant (T1=σLs/R1) rotor time constant (Tr=Lr/Rr) moment of inertia motor torque load torque stator current vector stator voltage vector rotor flux vector -5 -10 -15 0 0.5 1 1.5 2 time [s] 2.5 3 3.5 4 Fig. 13. dSpace experiment: performance of low speed and speed reversal ACKNOWLEDGMENT This work was supported by the Slovak Research and Development Agency under the contract No. VMSP-II0015-09. REFERENCES Speed: Simulation - w* = 10 rad/s to -10 rad/s 15 measured reference angular speed [rad/s] 10 5 0 -5 -10 -15 0 0.5 1 1.5 2 time [s] 2.5 3 3.5 4 Fig. 14. Simulation: performance of low speed and speed reversal VI. CONCLUSION In this paper we described several aspects regarding the induction machine vector control development. Since the beginning we tried to keep the model simple, robust and fully discrete, because we planned to share the basic model with other platform for code generation – dSpace in our case. The basic testing during the creation and development of the model was done by simulation only on a dSpace platform where real capabilities were demonstrated. This development process called “Model based design” can be used for any control structure with many advantages. Creating the model and testing in Simulink greatly saves time and other resources. This leads to reduced development time, reduced number of bugs and increased user-friendliness of the whole development process. This paper is an updated version of the paper published in 2009[8]. [1] Žalman M.: “Akčné členy (Slovak language)”, STU Bratislava 2003 [2] Doki, S.; Kinpara, Y.; Okuma, S.; Sangwongwanich, S., "Unified interpretation of indirect and direct vector control [of electric machines]," Power Conversion Conference, 1993. Yokohama 1993., Conference Record of the , vol., no., pp.297-302, 19-21 Apr 1993,URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=264167&isnu mber=6639 [3] Marwali, M.N.; Keyhani, A.; Tjanaka, W., "Implementation of indirect vector control on an integrated digital signal processorbased system," Energy conversion, ieee transactions on , vol.14, no.2, pp.139-146, Jun 1999 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=766961&isnu mber=16622 [4] DS1104 R&D Controller Board, dSpace Inc. 2009 Catalogue, URL:http://www.dspaceinc.com/ww/en/inc/home/medien/papers/d ownload_page.cfm?FileID=778 [5] The MathWorks, SimPowerSystems Documentation, 2011 URL: http://www.mathworks.com/access/helpdesk/help/toolbox/physmod /powersys/index.html?/access/helpdesk/help/toolbox/physmod/pow ersys/ [6] The MathWorks, SimPowerSystems Demos [7] The MathWorks, Code Generation from MATLAB®, User’s Guide, R2012b URL: http://www.mathworks.com/help/pdf_doc/eml/eml_ug.pdf [8] Vonkomer, J.,Radičová T., Žalman M., Suchánek M. “Fast AC Electric Drive Development Process Using Simulink Code Generation Possibilities”, Technical Computing Prague 2009 : 17th Annual Conference Proceedings. Prague, Czech Republic, 19.11.2009. - Prague: Humusoft, Ltd., 2009. – ISBN:978-80-7080733-0. - CD-Rom _____________________________________________________________________________________________ TRANSACTIONS ON ELECTRICAL ENGINEERING VOL. 1, NO. 4 HAS BEEN PUBLISHED ON 21ST OF DECEMBER 2012