In recent years the use of renewable energy including wind energy has risen dramatically. Because of the increasing development of wind power production, improvement of the control of wind turbines using classical or intelligent methods is necessary. In this paper, in order to control the power of wind turbine equipped with DFIG, a novel intelligent controller based on the human mind's emotional learning is designed. The performance of proposed controller is confirmed by simulation results. Some outstanding properties of this new controller are online implementation capability, structural simplicity and its robustness against any changes in wind speed and system parameters variations.
Keywords
Double Fed Induction Generator(DFIG), Emotional Learning, Wind Turbine, Intelligent Controller
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