Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine
Abstract
null null This paper proposes a novel grouped grey wolf optimizer to obtain the optimal parameters of interactive proportional-integral controllers of doubly-fed induction generator based wind turbine, such that a maximum power point tracking can be realized together with an improved fault ride-through capability. Under the proposed framework, the grey wolves are divided into two independent groups, including a cooperative hunting group and a...
Paper Details
Title
Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine
Published Date
Feb 1, 2017
Volume
133
Pages
427 - 443
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