Optimal control for variable-speed wind generation systems using General Regression Neural Network

International Journal of Electrical Power and Energy Systems

Volumn 60, Issue , 2014, Pages 14-23

  Hong, Chih Ming ^a   Cheng, Fu Sheng ^b   Chen, Chiung Hsing ^a  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b CHENG SHIU UNIVERSITY   (Taiwan)

Author keywords

Adaptive ant colony optimization (AACO); General Regression Neural Network (GRNN); Induction generator (IG); Optimal control; Wind energy conversion system (WECS); Wind turbine (WT)

Indexed keywords

ADAPTIVE ANT COLONIES; FREQUENCY FLUCTUATION; GENERAL REGRESSION NEURAL NETWORK; NONLINEAR CHARACTERISTICS; OPTIMAL CONTROLS; OPTIMIZATION CRITERIA; WIND ENERGY CONVERSION SYSTEM; WIND GENERATION SYSTEM;

ALGORITHMS; ANT COLONY OPTIMIZATION; ARTIFICIAL INTELLIGENCE; CONTROL; CONTROLLERS; ELECTRIC GENERATORS; ENERGY POLICY; WIND POWER;

ASYNCHRONOUS GENERATORS;

EID: 84897901552     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2014.02.015     Document Type: Article

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