Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/1463
Title: Adjustable Pitch of Variable Speed Wind Turbine Generation Using a Neural Network Controller
Authors: José Nuno Fidalgo
António F. Silva F. Silva
Fernando A. Aristides
Issue Date: 2006
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.
URI: http://repositorio.inesctec.pt/handle/123456789/1463
metadata.dc.type: conferenceObject
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Appears in Collections:CPES - Indexed Articles in Conferences

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