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Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/7488

Título: Analysis and NN-based control of doubly fed induction generator in wind power generation
Autor: Soares, Orlando
Gonçalves, Henrique
Martins, António
Carvalho, Adriano
Palavras-chave: Wind power generation,
Simulation
Control
Neural networks
Doubly fed induction generator
Issue Date: 2009
Editora: Renewable Energy & Power Quality Journal
Citação: Soares, Orlando; Gonçalves, Henrique; Martins, António; Carvalho, Adriano (2009) - Analysis and NN-based control of doubly fed induction generator in wind power generation. Renewable Energy & Power Quality Journal. ISSN 2172-038X. 7.
Resumo: With the increasing size of wind power generation it is required to perform power system stability analysis that uses dynamic wind generator models. In this paper are presented all the wind power system components, including the turbine, the generator, the power electronic converter and controllers. The aim is to study the Doubly Fed Induction Generator (DFIG) operation and its connection to the power system, either during normal operation or during transient grid fault events. Two different control system design technologies are present, the first is performed by standard PI controllers and the second is based on artificial neural networks
URI: http://hdl.handle.net/10198/7488
ISSN: 2172-038X
Versão do Editor: http://www.icrepq.com/RE&PQJ-7.html
Appears in Collections:DE - Artigos em Revistas Não Indexados ao ISI

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