Design and Control of Lab-Scale Variable Speed Wind Turbine Simulator using DFIG. Seung-Ho Song, Ji-Hoon Im, Hyeong-Jin Choi, Tae-Hyeong Kim

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Design and Control of Lab-Scale Variable Speed Wind Turbine Simulator using DFIG Seung-Ho Song, Ji-Hoon Im, Hyeong-Jin Choi, Tae-Hyeong Kim Dept. of Electrical Engineering Kwangwoon University, Korea Summary To investigate the dynamic response of WECS to the events in power system, an accurate simulation model for DFIG(doubly-fed induction generator) system is developed using PSCAD/EMTDC and a hardware-in-loop simulator is implemented using 3kW M-G set. The model consists of wind model, rotor dynamics, wound rotor induction generator, power electronics converter and control strategies. Control strategies can be programmed at torque-speed plane as needed and implemented in DSP controlled power converters. Simulation and experimental results shows smooth change of control modes and efficient powercontrol performances. KEY WORDS: DFIG, Wind Turbine Simulation, Variable Speed 1. INTRODUCTION As the unit size of WECS(wind energy conversion system) and the penetration increase, the interaction study between wind turbine and grid network is getting more important.[1][2] To investigate the dynamic response of WECS to the events in power system, more accurate modeling of WECS is being required. In contrast with the conventional synchronous generator driven by various turbines, the output characteristic of variable speed WECS depends not only on the generator dynamics but also on control algorithms of the power converter. In other words, the more sophisticated algorithm is implemented in the commercial WECS, the more complicated model of the WECS is needed to investigate actual transient responses. Control strategies and performance evaluation of doubly-fed induction generators (DFIG) have been widely discussed in [3-8]. The turbine control strategy in [3] and [4] is studied only in simulations. In [5] and [6] some test results are included in given wind conditions which are measured at actual size wind turbine. So the wide range of operating conditions could not be illustrated including control mode changes during variable speed generation. In this paper an accurate simulation model for DFIG (doubly-fed induction generator) system is developed using

PSCAD/EMTDC and a hardware-in-loop simulator is implemented using 3kW M-G set. Simulation and experimental results are compared during the transients of variable speed operation. The proposed control strategy shows smooth change of control modes and efficient powercontrol performances of DFIG system. 2. CONTROL STRATEGIES OF DFIG A configuration of DFIG system is shown in Fig. 2.1 The shaft torque of the generator equals to the mechanical power input divided by rotational speed. The modeling of the shaft torque in a wind turbine is developed in [10] including the tower effect and variable inertia emulation. Once the shaft torque and the rotating speed is given, the back-to-back inverter system controls all the system variables such as the generator active power, the dc-link voltage, the stator reactive power, the converter reactive power, and the stator inrush currents as designated in Fig. 2.1. The MSC(Machine side converter) performs the control of the generator active power, the stator reactive power and the stator inrush current through the rotor current control. A control block diagram for the DFIG system is shown in Fig. 2.2. The rotor side converter performs the field oriented control of induction machine to achieve fast dynamic response of torque control. The stator flux is calculated from the voltage and the current measurements. The slip speed of the machine is used for the transformation of rotor currents and voltages into synchronous reference frame. The speed control or the torque control mode can be selected according to the operating speed and torque conditions. This block diagram also contains the reactive power control block which is used for the generation of reactive power at the stator terminal. The reactive power from the grid-side converter can be controlled, too. As the voltage controller maintains the dc-link voltage, the input and output power of dclink are automatically balanced. A proposed operating characteristic curve of the generator is shown in Fig. 2.3 As the rotor-side inverter can control the generator torque and speed, the operating point of the generator can be controlled as needed. Fig. 2.1 Important control variables in DFIG system

Fig. 2.2. Control block diagram of DFIG(Doubly-Fed Induction Generator) system In the torque vs. speed curve, three operating modes can be characterized. The first a-b section is minimum speed control region, and the second b-c section is variable torque control region and the last c-d section is torque limit control region. In low wind speed conditions the minimum speed of the generator should be kept as the rotor voltage is limited. Fig. 2.3. Operational characteristics of the generator (a) Torque vs. speed curve (b) Power vs. speed curve Fig. 2.4. Operating modes and changeover logic for the DFIG system

Fig. 2.5. DFIG simulation model using PSCAD/EMTDC Fig. 2.6. Stator and rotor voltages and currents during the speed change in DFIG system (a) rotating speed (b) variables at sub-synchronous speed (c) variables at synchronous speed (d) variables at super-synchronous speed.

In the variable torque control mode, the most efficient operating point of speed and torque should be selected as the wind speed changes. The generator torque is limited to the rated value even though the rotational speed is higher than the base speed. The transition strategies between operating modes are shown in Fig. 2.4 with transition conditions. The synchronization and disconnection conditions should be carefully handled for soft start and shut-down of the power generation. 3. SIMULATION AND EXPERIMENT The total simulation model of doubly-fed induction generator (DFIG) using PSCAD/EMTDC is shown in Fig. 2.5. The model consists of many blocks such as the blade, the generator, the inverter stack, and the grid. Also the control algorithms are modeled as MSC(Machine-side converter) controller and GSC(Grid-side converter) controller in detail. As an example of simulation results, the generator terminal voltages and currents are investigated as the rotating speed changes in Fig. 2.6. The rotating speed is changing from 0.7 [pu] to 1.1 [pu] in Fig. 2.6 (a). From top to bottom the stator voltage, the stator current, the rotor voltage and the rotor current are shown at the speed of 0.7 [pu] in Fig. 2.6 (b), at the speed of 1.0 [pu] in Fig. 2.6 (c), and at the speed of 1.1 [pu] in Fig. 2.6 (d) respectively. While the frequency of rotor voltages and rotor currents is proportional to the slip, the stator frequency is kept constant as synchronous speed. The stator power, which is related to the stator currents, increases as the rotational speed increases. However the rotor power shows different characteristics. The rotor power changes the direction as the speed changes from sub-synchronous to supersynchronous. A DFIG wind turbine simulator is implemented to demonstrate the performance of DFIG system experimentally as shown in Fig. 3.1. A 32- bit DSP, TMS320VC33 with FPGA performs all the converter control algorithms with switching frequency of 5kHz. The parameters for the experimental set-up are listed in Table 3.1. Fig. 3.1. Experimental set-up for 3kW DFIG system

Table 3.1. Parameters of Experimental Set-up Parameters Value Motor 5.5[kW] DCM Rating (220V 1750rpm) 3[kW] DFIG Generator Stator : 220V 14.7A Rating Rotor : 128V 14A Converter 6 pulse Thy. Regenerative VSD (Motor (Torque Controlled by Drive) Communication) Fig. 3.4 using X-Y plot. Two graphs in Fig. 3.4 (a) and (b) are corresponding to the torque vs. speed and the grid power vs. speed curve in Fig. 2.3. The others in Fig. 3.4 (c) and (d) are the stator power vs. speed and the rotor power vs. speed curve. These results show that the implemented control strategies accord very well with the designed characteristic curves, which confirms the efficient and safe operation of DFIG system. Converter (MSC) 3 Phase IGBT PWM Inverter (Proposed DFIG Control Strategies) 3 Phase IGBT PWM Inverter Converter (DC Voltage Regulation with (MSC) Reactive Power Control) In Fig. 3.2, the rotor voltage and current are investigated during the rotating speed changes from 1600[rpm] to 2000[rpm] in speed control mode. Note that this result is obtained by speed reference increase for the test during the change of the slip sign. The frequency of the rotor voltage and the rotor current in Fig. 3.2 equals to the slip frequency which is the same as the synchronous frequency subtracted by rotating frequency. These experimental results are coincident with the simulation results in Fig. 2.6. The generator speed and the torque during an arbitrary variation of input power (blade torque) are shown in Fig. 3.3. It shows the smooth transition from speed control to torque control mode. The waveforms during the same variable speed operation conditions are shown in Fig. 3.2. Transient response during speed change (a) speed reference (b) rotating speed (c) rotor current (d) rotor voltage reference Fig. 3.3. Speed and real power of DFIG during the input power (blade torque)

variation DSP controlled power converters. 5. ACKNOWLEDGEMENTS This paper is the outcome of a research center of break-through technology program supported by the Ministry of Knowledge and Economy (MKE). Fig. 3.4 Operational characteristics of the generator using a 3kW HILS(Hardware-inloop Simulator) (a) Torque vs. speed curve (b) Grid power vs. speed curve (c) Stator power vs. speed curve (d) Rotor power vs. speed curve 4. CONCLUSION For the investigation of dynamic responses of DFIG system, an accurate simulation model including inverter control strategies are developed using PSCAD/EMTDC. The model consists of wind model, rotor dynamics, electromagnetic model of induction generator, power electronics converter and its control algorithms. Power control strategies are designed and tested to follow the characteristic curve in torquespeed plane. A hardware-inloop simulator is implemented using 3kW M-G set with 6. REFERENCES 1. T. Ackermann, Wind Power in Power Systems, John Wiley & Sons, 2005. 2. S. Heier, Grid Integration of Wind Energy Conversion Systems, John Wiley & Sons, 1998. 3. A. D. Hansen, F. Iov, P. Soerensen, F. Blaabjerg, Overall Control Strategy of Variable Speed Doubly-Fed Induction Generator Wind Turbine, 2004 Nordic Wind Power Conference, March 2004. 4. J. B. Ekanayake, L. Holdsworth, N. Jenkins, "Control of DFIG Wind Turbines," IEE Power Engineer, pp. 28-32, Feb. 2003. 5. S. Müller, M. Deicke, R. W. De Doncker, Adjustable Speed Generators for Wind Turbines based on Doubly-fed Induction Machines and 4-Quadrant IGBT Converters Linked to the Rotor, IEEE IAS 2000 Conference Record, Vol. 4, pp. 2249-2254, 2000. 6. A. Petersson, T. Thiringer, L. Harnefors, T. Petru, Modeling and Experimental Verification of Grid Interaction of a DFIG Wind Turbine, IEEE Trans. on Energy Conversion, Vol. 20, No. 4, pp. 878-886, 2005. 7. R. Pena, J. C. Clare, G. M. Asher, Doubly fed induction generator using back-to-back PWM converters and its application to variable-speed windenergy generation, IEEProc.-Electr,

Power Appl., Vol. 143, No. 3, pp. 231-241, May 1996. 8. G. Yuan, J. Chai, Y. Li, Vector Control and Synchronization of Doubly Fed Induction Wind Generator System, 2004 IPEMC Proceedings, pp. 886-890, 2004. 9. B.-C. Jeong, S.-H. Song, D.-J Sim, A Wind Turbine Simulator for Doubly- Fed Induction-type Generator with Automatic Operation Mode Change during Wind Speed Variation, Journal of Korean Institute of Power Electronics, Vol. 11, No. 4, pp. 349-360, 2006(in Korean). 10. S.-H. Song, B.-C. Jeong, H.-I. Lee, J.- J. Kim, J.-H. Oh, G. Venkataramanan, Emulation of Output Characteristics of Rotor Blades Using a Hardware-In- Loop Wind Turbine Simulator, IEEE- APEC 2005 Proceedings, Vol. 3, pp.1791-1796, 2005.