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http://dx.doi.org/10.5391/JKIIS.2012.22.1.56

Fuzzy Modeling and Stability Analysis of Wind Power System with Doubly-fed Induction Generator  

Kim, Jin-Kyu (군산대학교 제어로봇공학과)
Joo, Young-Hoon (군산대학교 제어로봇공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.22, no.1, 2012 , pp. 56-61 More about this Journal
Abstract
This paper propose the robust stability algorithm for controlling a variable speed wind power system which based on doubly-fed induction generator (DFIG). The control object in the wind power system enables the rotor to rotate without any physical contact by using magnetic force. Generally, the system dynamics of the wind power system has severe nonlinearity and uncertainty so that it is not easy to obtain the control objective. For solving these problems, we propose the fuzzy modelling and robust control algorithm for wind power system. The sufficient conditions for robust controller are obtained in terms of solutions to linear matrix inequalities (LMIs). Simulation results for wind power system based on DFIG are demonstrated to visualize the feasibility of the proposed method.
Keywords
Variable speed wind power system; doubly-fed induction generator (DFIG); robust stability; fuzzy modeling; Lyapunov stability;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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