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W1912773274 abstract "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." @default.
W1912773274 created "2016-06-24" @default.
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W1912773274 date "2012-12-01" @default.
W1912773274 modified "2023-09-26" @default.
W1912773274 title "A Novel Control Strategy Study for DFIG-based Wind Turbine" @default.
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W1912773274 doi "https://doi.org/10.17485/ijst/2012/v5i12/30605" @default.
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