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A neural network control strategy for improved energy capture on a variable-speed wind turbine

Title
A neural network control strategy for improved energy capture on a variable-speed wind turbine
Type
Article in International Scientific Journal
Year
2005
Authors
António F. Silva
(Author)
Other
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Fernando A. Castro
(Author)
Other
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J. Nuno Fidalgo
(Author)
FEUP
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FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
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Authenticus ID: P-007-DM7
Abstract (EN): 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, using Artificial Neural Networks (ANN). The control objective is decided according the two states of operation: below rated operation and above rated operation. In the below rated power state, the aim of control is to extract maximum energy from the wind. In the above rated power, the control design problem is to limit and smooth the output electrical power. A model has been constructed and evaluated with experimental data obtained from Vestas V-47 660 kW wind turbine.
Language: English
Type (Professor's evaluation): Scientific
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