Hybrid control of a wind induction generator based on grey-elman neural network

Whei Min Lin, Chih Ming Hong, Cong Hui Huang, Ting Chia Ou

研究成果: Article同行評審

36 引文 斯高帕斯(Scopus)

摘要

This brief presents the design of an optimal wind energy control system for maximum power point tracking. With the help of a grey predictor for the preprocessor, a high-performance online training Elman neural network (ENN) is designed to derive the turbine speed needed to extract maximum power from wind. Moreover, the connective weights of the improved ENN are trained online by the backpropagation learning algorithm. Compared to earlier methods, better results are obtained when the ENN controller is used together with the grey system modeling approach. Performance of the proposed approach is verified by the experimental results.

原文English
文章編號6407971
頁(從 - 到)2367-2373
頁數7
期刊IEEE Transactions on Control Systems Technology
21
發行號6
DOIs
出版狀態Published - 2013

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 電氣與電子工程

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