Adjustable Pitch of Variable Speed Wind Turbine Generation Using a Neural Network Controller

dc.contributor.author	José Nuno Fidalgo	en
dc.contributor.author	António F. Silva F. Silva	en
dc.contributor.author	Fernando A. Aristides	en
dc.date.accessioned	2017-11-16T12:23:48Z
dc.date.available	2017-11-16T12:23:48Z
dc.date.issued	2006	en
dc.description.abstract	Pitch control has so far been the dominating method for power control in modern variable speed wind turbines. This paper proposes an improved control technique for pitching the blades of a variable speed wind turbine, by application of Artificial Neural Networks (ANN). The control objective is divided into below rated operation and above rated operation. Below rated power, the aim of control is to extract maximum energy from the wind. Above rated power, the control design problem is to limit and smooth the output electrical power. A model has been constructed and validated by experimental data obtained from Vestas V-47 660 kW wind turbine.	en
dc.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/1463
dc.language	eng	en
dc.relation	253	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.title	Adjustable Pitch of Variable Speed Wind Turbine Generation Using a Neural Network Controller	en
dc.type	conferenceObject	en
dc.type	Publication	en