Neural Networks Based Power Flow Control of the Doubly Fed Induction Generator

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

Orlando F. Soares (Autor) FEUP; Henrique N. Gonçalves (Autor) FEUP; António P. Martins (Autor) FEUP; Adriano Carvalho (Autor) FEUP

Ata de Conferência Internacional

Título: 2009 INTERNATIONAL CONFERENCE ON POWER ENGINEERING, ENERGY AND ELECTRICAL DRIVES

Páginas: 588-593

2nd International Conference on Power Engineering, Energy and Electrical Drives

Lisbon, PORTUGAL, MAR 18-20, 2009

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

INSPEC

Classificação Científica

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

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de controlo > Automação

Outras Informações

ID Authenticus: P-003-SXW

DOI: 10.1109/powereng.2009.4915181

Abstract (EN): This paper describes the models of a wind power system, such as the turbine, generator, power electronics converters and controllers, with the aim to control the generation of wind power in order to maximize the generated power with the lowest possible impact in the grid voltage and frequency during normal operation and under the occurrence of faults. The presented work considers a wind power system equipped with the doubly fed induction generator and a vector-controlled converter connected between the rotor and the grid. The paper presents comparative results between proportional-integral controllers and neural networks based controllers, showing that better dynamic characteristics can be obtained using neural networks based controllers.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6