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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2005

Autores

António F. Silva (Autor) Outra; Fernando A. Castro (Autor) Outra; J. Nuno Fidalgo (Autor) FEUP

Revista

Título: WSEAS Transactions on Information Science and Applications

Vol. 2

Páginas: 450-454

ISSN: 1790-0832

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

Indexação

Scopus - 1 Citação

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica