Analysis and NN-Based Control of Doubly Fed Induction Generator in Wind Power Generation

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

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

Conference proceedings International

Title: Proceedings of the International Conference on Renewable Energy and Power Quality, ICREPQ'2009

Pages: 1-6

International Conference on Renewable Energy and Power Quality, ICREPQ'2009

Valencia, Spain, 15-17 April

Indexing

INSPEC

Scientific classification

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

CORDIS: Technological sciences > Engineering > Control engineering > Automation

Other information

Abstract (EN): 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.

Language: Portuguese

Type (Professor's evaluation): Scientific