Doubly-fed induction generator drive based WECS using fuzzy logic controller

Abstract

The purpose of this paper is to improve the control performance of the variable speed, constant frequency doubly-fed induction generator in the wind turbine generation system by using fuzzy logic controllers. The control of the rotor-side converter is realized by stator flux oriented control, whereas the control of the grid-side converter is performed by a control strategy based on grid voltage orientation to maintain the DC-link voltage stability. An intelligent fuzzy inference system is proposed as an alternative of the conventional proportional and integral (PI) controller to overcome any disturbance, such as fast wind speed variation, short grid voltage fault, parameter variations and so on. Five fuzzy logic controllers are used in the rotor side converter (RSC) for maximum power point tracking (MPPT) algorithm, active and reactive power control loops, and another two fuzzy logic controllers for direct and quadratic rotor currents components control loops. The performances have been tested on 1.5 MW doubly-fed induction generator (DFIG) in a Matlab/Simulink software environment.

Keywords

fuzzy logic / wind turbine / vector control / doubly-fed induction generator (DFIG)

参考文献

[1] Ooi B T, David R A. lnduction-generator/synchronous-condenser system for wind-turbine power. In: Proceedings of the Institution of Electrical Engineers. Montreal, Canada, 1979, 69–74

[2] Spahic E, Morren J, Balzer G, Michalke G. Mathematical model of the double fed induction generator for wind turbines and its control quality. In: Proceedings of the International Conference on Power Engineering. Setubal, Portugal, 2007, 642–649

[3] Peña, R, CárdenasR, Proboste J, Clare J, Asher G. Wind-diesel generation using doubly fed induction machines. IEEE Transactions on Energy Conversion, 2008, 23(1): 202–214

[4] Burton T, Sharpe D, Jenkins N, Bossanyi E. Wind Energy Handbook. John Wiley & Sons, Ltd, 2001

[5] Shi J, Tang Y, Xia Y, Ren L, Li J. SMES based excitation system for doubly-fed induction generator in wind power application. IEEE Transactions on Applied Superconductivity, 2011, 21(3): 1105–1108

[6] Qiao W, Zhou W, Aller J M, Harley R G. Wind speed estimation based sensorless output maximization control for a wind turbine driving a DFIG. IEEE Transactions on Power Electronics, 2008, 23(3): 1156–1169

[7] Hogdahl M, Nielsen J G. Modeling of the Vestas V80 VCS wind turbine with low voltage ride-through. In: Proceedings of the Fifth International Workshop on Large-Scale Integration of Wind Power and Transmission Networks for Offshore Wind Farms. Glasgow, Great Britain, 2005

[8] Yao X, Jing Y, Xing Z. Uninterrupted operation of doubly-fed induction generator based wind turbine during network. In: International Conference on Electrical Machines and Systems. Seoul, Korea, 2007, 333–339

[9] SpéeR, Bhowmik S, Enslin J H R. Novel control strategies for variable-speed doubly fed wind power generation systems. Renewable Energy, 1995, 6(8): 907–915

[10] Wei Z N, Yu X Y, Wu J J, Han L S, Xie X, Che D, Wang Y. The intelligent control of DFIG-based wind generation. In: Proceedings of the International Conference on Sustainable Power Generation and Supply. Nanjing, China, 2009, 1–5

[11] Lee H L, Dzung P Q, Phuong L M, Khoa L D, Nhan N H. A new fuzzy logic approach for control system of wind turbine with doubly fed induction generator. In: Proceedings of International Forum on Strategic Technology. Ulsan, Republic of Korea, 2010, 134–139

[12] Ren Y, Li H, Zhou J, An Z, Liu J, Hu H, Liu H. Dynamic performance analysis of grid-connected DFIG based on fuzzy logic control. In: Proceedings of IEEE International Conference on Mechatronics and Automation. Changchun, China, 2009, 719–723

[13] Chen Z, Guerrero J M, Blaabjerg F. A review of the state of the art of power electronics for wind turbines. IEEE Transactions on Power Electronics, 2009, 24(8): 1859–1875

[14] Heier S. Grid Integration of Wind Energy Conversion Systems. John Wiley & Sons, 2006

[15] Zou Y, Elbuluk M, Sozer Y. A complete modeling and simulation of induction generator wind power systems. In: Proceedings of IEEE Industry Applications Society Annual Meeting. Houston, USA, 2010: 1–8

[16] Pena R, Clare J C, Asher G M. Doubly fed induction generator using back-to-back PWM converters and its application to variable speed wind-energy generation. IEE Proceedings–Electric Power Applications, 1996, 143(3): 231–241

[17] Kling W L, Slootweg J G. Wind turbines as power plants. In: Proceedings of IEEE workshop on Wind Power and the Impacts on Power Systems. Oslo, Norway, 2002

[18] Li S, Haskew T A. Analysis of decoupled d-q vector control in DFIG back-to-back PWM converter. In: Proceedings of IEEE Power Engineering Society General Meeting. Tampa, USA, 2007, 1–7

[19] Van Meirhaeghe P. Double fed induction machine: a EUROSTAG model. 2005-05-17

[20] Duarte J L, van Zwam A , Wijnands C, Vandenpu A. Reference frames fit for controlling PWM rectifiers. IEEE Transactions on Power Electronics, 1999, 46(3): 628–630

[21] Jabr H M, Kar N C. Fuzzy gain Tuner for vector control of doubly-fed wind driven induction generator. In: Proceedings of IEEE Canadian Conference on Electrical and Computer Engineering. Ottawa, Canada, 2006, 2266–2269

[22] Singh B, Kyriakides E, Singh S N. Intelligent control of grid connected unified doubly-fed induction generator. In: Proceedings of IEEE Power and Energy Society General Meeting. Minneapolis, USA, 2010, 1–7

[23] Bose B K. Modem Power Electronics and AC Drives. Beijing: China Machine Press, 2004

[24] Stiebler M. Wind Energy Systems for Electric Power Generation. Springer, 2008

版权

2015 Higher Education Press and Springer-Verlag Berlin Heidelberg