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A Fuzzy Logic Controller Design for Maximum Power Extraction of Variable Speed Wind Energy Conversion System  

Kim Jae-gon (인하대학 전기학과)
Huh Uk-youl (인하대학 전기학과)
Kim Byung-yoon (인하대학 전기학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.53, no.11, 2004 , pp. 753-759 More about this Journal
Abstract
This paper presents a modeling and simulation of a fuzzy controller for maximum power extraction of a grid-connected wind energy conversion system with a link of a rectifier and an inverter. It discusses the maximum power control algorithm for a wind turbine and proposes, in a graphical form, the relationships of wind turbine output, rotor speed, power coefficient, tip-speed ratio with wind speed when the wind turbine is operated under the maximum power control. The control objective is to always extract maximum power from wind and transfer the power to the utility by controlling both the pitch angle of the wind turbine blades and the inverter firing angle. Pitch control method is mechanically complicated, but the control performance is better than that of the stall regulation method. The simulation results performed on MATLAB will show the variation of generator's rotor angle and rotor speed, pitch angle, and generator output.
Keywords
Fuzzy Logic; Wind Energy Conversion System(WECS); Pitch Control;
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1 E. Muljadi et al., Variable Speed Operation of Generators with Rotor-Speed Feedback in Wind Power Applications, Journal of Solar Energy Engineering, Vol. 118, November 1996, pp. 270-277   DOI   ScienceOn
2 Grid Integration of Wind Energy Conversion Systems, John Wiley & Sons, 1998
3 Z. Chen, S. Arnalte Gomez, and M. McCormick, A Fuzzy Logic Controlled Power Electronic System for Variable Speed Wind Energy Conversion Systems, Power Electronics and Variable Speed Drives, Sept. 2000, pp, 114-119
4 E.N. Hinrichsen and P.J. Nolan, Dynamics and Stability of Wind Turbine Generators, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-101, No.8, June 1981, pp. 2640-2648   DOI   ScienceOn
5 R. Chedid, F. Mrad and M. Basma, Intelligent Control of a Class of Wind Energy Conversion Systems, IEEE Transactions on Energy Conversion, Vol. 14, No.4, December 1999, pp. 1597-1604   DOI   ScienceOn
6 A. Murdoch et al., Control Design and Performance Analysis of a 6 MW Wind Turbine Generator, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-102, No.5, May 1983, pp. 1340-1347   DOI   ScienceOn
7 W. E. Leithead, S. de la Salle and D. Reardon, Role and Objectives of Control for Wind Turbines, IEE Proceedings-C. Vol. 138, No. 2, March 1991, pp. 135-148   DOI   ScienceOn
8 E. Muljadi, C. P. Butterfield and P. Migliore, Variable Speed Operation of Generators with Rotor-Speed Feedback in Wind Power Applications, Journal of Solar Energy Engineering, Vol. 118, November 1996, pp. 270-277   DOI   ScienceOn
9 M.R. Patel, 'Wind and Solar Power Systems', CRC Prss., pp. 35-92, 1999
10 서영택, '풍력발전을 위한 권선형 유도발전기의 여자 특성', 경북대학교 공학박사학위논문, pp. 8-32, 1997
11 O. Wasynczuk, D.T. Man and J.P. Sullivan, Dynamic Behavior of a Class of Wind Turbine Generators during Random Wind Fluctuations, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-100, No. 6 June 1981, pp. 2837-2845   DOI   ScienceOn
12 M. Steninbuch, Optimal Multivariable Control of a Wind Turbine with Variable Speed, Wind Engineering Vol. 11, No. 3 1987, pp. 153-163
13 Y.D. Song, B. Dhinakaran and X. Bao, Control of Wind Turbines using Nonlinear Adaptive Field Excitation Algorithms, Proceedings of American Control Conference, Chicago, June 2000, pp. 1551-1555   DOI
14 A.R. Bergen and V. Vittal, Power System Analysis, Prentice Hall, 2000
15 Kevin M. Passino, Stephen Yurkovich, Fuzzy Control, Addison-Wesliy, 1998