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
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