A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and GSA evolutionary algorithm
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Tiwari, Ramji & Babu, N. Ramesh, 2016. "Recent developments of control strategies for wind energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 268-285.
- Sun, Peng & Li, Jian & Wang, Caisheng & Lei, Xiao, 2016. "A generalized model for wind turbine anomaly identification based on SCADA data," Applied Energy, Elsevier, vol. 168(C), pages 550-567.
- repec:eee:appene:v:228:y:2018:i:c:p:1822-1836 is not listed on IDEAS
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KeywordsWind turbine; Torque control; PI controller; Gravitational Search Algorithm (GSA); Radial basis function (RBF) neural network; FAST;
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