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

• Type: Article in International Scientific Journal
• Date: 2005

Authors

António F. Silva (Author) Other; Fernando A. Castro (Author) Other; J. Nuno Fidalgo (Author) FEUP

Journal

Title: WSEAS Transactions on Information Science and Applications

Vol. 2

Pages: 450-454

ISSN: 1790-0832

Publisher: World Scientific and Engineering Academy and Society (WSEAS) Press

Indexing

Scopus - 1 Citation

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

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