A new fuzzy logic approach for control system of wind turbine with doubly fed induction generator Lee H.H., Dzung P.Q., Phuong L.M., Khoa L.D., Nhan N.H. School of Electrical Engineering, University of Ulsan, Ulsan, South Korea; HCMC University of Technology, Ho Chi Minh City, Viet Nam Abstract: This paper presents a new fuzzy-logic approach to control variable-speed wind turbine and a Doubly Fed Induction Generator (DFIG). This paper focuses on the implementation of the fuzzy controller for the active power and reactive power in slow wind speed. A vector control scheme is developed to control the rotor side voltage source converter. This scheme of vector control strategy allows the independent control of the generated active and reactive power as well as the rotor speed. In this work, a fuzzy-logic approach is proposed to control the DFIG. The paper describes a complete mathematical DFIG model. In this model, a rotor angular speed is controlled by pitch angle; the active and reactive power are controlled by rotor voltage, which goes through back-to-back PWM voltage source converter. In other way, DC-link voltage is also maintained stable. This new approach is validated by modeling using Matlab-Simulink software and results are shown. ©2010 IEEE. Author Keywords: Doubly Fed Induction Generator (DFIG); Fuzzy logic; Wind turbine Index Keywords: Active and reactive power; Active power; Angular speed; Control variable; DC-link voltages; Doubly fed induction generators; Doubly-fed induction generator; Fuzzy controllers; Fuzzy logic approach; Independent control; Matlab-Simulink software; New approaches; Pitch angle; Rotor speed; Rotor voltage; Vector control scheme; Vector controls; Voltage source converters; Wind speed; Asynchronous generators; DC power transmission; Electric fault currents; Fuzzy systems; Power converters; Reactive power; Wind power; Wind turbines; Fuzzy logic Year: 2010 Source title: 2010 International Forum on Strategic Technology, IFOST 2010 Art. No.: 5667902 Page : 134-139 Link: Scorpus Link Correspondence Address: Lee, H. H.; School of Electrical Engineering, University of Ulsan, Ulsan, South Korea; email:
[email protected] Conference name: 2010 International Forum on Strategic Technology, IFOST 2010 Conference date: 13 October 2010 through 15 October 2010 Conference location: Ulsan Conference code: 83431 ISBN: 9.78142E+12 DOI: 10.1109/IFOST.2010.5667902 Language of Original Document: English Abbreviated Source Title: 2010 International Forum on Strategic Technology, IFOST 2010
Document Type: Conference Paper Source: Scopus Authors with affiliations: 1. Lee, H.H., School of Electrical Engineering, University of Ulsan, Ulsan, South Korea 2. Dzung, P.Q., HCMC University of Technology, Ho Chi Minh City, Viet Nam 3. Phuong, L.M., HCMC University of Technology, Ho Chi Minh City, Viet Nam 4. Khoa, L.D., HCMC University of Technology, Ho Chi Minh City, Viet Nam 5. Nhan, N.H., HCMC University of Technology, Ho Chi Minh City, Viet Nam
References: 1.
Ooi, B.T., David, R.A., Induction-generator/synchronous-condenser system for wind-turbine power (1979) Proc. Inst. Elect. Eng., 126 (1), pp. 69-74. , Jan
2.
Tapia, A., Tapia, G., Ostolaza, J.X., Sáenz, J.R., Modeling and Control of a Wind Turbine Driven Doubly Fed Induction Generator (2003) IEEE Transactions on Energy Conversion, 18 (2), pp. 194-204. , JUNE
3.
Spahic, E., Morren, J., Balzer, G., Michalke, G., Mathematical Model of the Double Fed Induction Generator for Wind Turbines and its Control Quality POWERENG 2007, April 12-14, 2007, Setubal, Portugal, pp. 642-649
4.
Leithead, W.E., Rogers, M.C.M., Leith, D.J., Connor, B., Progress in control of wind turbines Proc. 3rd Europe. Contr. Conf., Rome, Italy, Sept. 1995, pp. 1556-1561
5.
Liaw, C.-M., Pan, C.-T., Chen, Y.-C., Design and implementation of an adaptive controller for current-fed induction motor (1988) IEEE Trans. Ind. Electron., 35, pp. 393-401. , Aug
6.
Yao, X., Jing, Y., Xing, Z., Uninterrupted Operation of Doubly-Fed Induction Generator based Wind Turbine during Network Proceeding of International Conference on Electrical Machines and Systems 2007, Oct. 8-11, Seoul, Korea, pp. 333-339
7.
Spee, R., Bhowmik, S., Enslin, J.H.R., Novel control strategies for variable-speed doubly fed wind power generation systems (1995) Renewable Energy, 6 (8), pp. 907-915
8.
Miller, N.W., Sanches-Gasca, J.J., Price, W.W., Delmerico, R.W., Dynamic Modeling of GE 1.5 and 3.6 MW Wind TurbineGenerators for Stability Simulations IEEE Power Engineering Society General Meeting, Toronto, Canada, July 2003, 3, pp. 1977-1983
9.
Hogdahl, M., Nielsen, J.G., Modeling of the Vestas V80 VCS Wind Turbine with Low Voltage Ride-Through Fift International Workshop on Large-Scale Integration of Wind Power and Transmission Networks for Offshore Wind Farms, Glasgow, Great Britain, April 2005
10. Poller, M., Doubly-Fed Induction Machine Models for Stability Assessment of Wind Farms IEEE Power Tech Conference, Bologna, Italy, June 2003 11. Jabr, H.M., Kar, N.C., Neuro-Fuzzy Vector Control for Doubly-Fed Wind Driven Induction Generator 2007 IEEE Canada Electrical Power Conference, pp. 236-242 12. 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 International Conference "Sustainable Power Generation and Supply, 2009. SUPERGEN'09 April 2009, Nanjing
