Indonesian Journal of Electrical Engineering and Computer Science
Vol 12, No 11: November 2014

Fuzzy Sliding Mode Control for DFIG-based Wind Energy Conversion Optimization

Han Yaozhen (North China Electric Power University)
Liu Xiangjie (North China Electric Power University)



Article Info

Publish Date
01 Nov 2014

Abstract

This study proposes a fuzzy sliding mode control strategy to realize wind energy conversion optimization based on doubly-fed induction generator (DFIG). Its operational points in partial load zone can be electronically controlled. Chattering in wind energy conversion sliding mode control system is greatly alleviated based on fuzzy switching gain adjustment. The purposes including the maximum power point tracking, decoupling control of active and reactive power of fed induction generation system are fulfilled. Fitful and random wind speeds are mathematical modeled.  Simulation results verified  effectiveness and feasibility of  the proposed control strategy  under the two types of wind speed and indicate that the whole control system has better robustness against uncertainties and can guarantee the power quality.

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