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

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

Pages: 588-593

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

Lisbon, PORTUGAL, MAR 18-20, 2009

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

INSPEC

Scientific classification

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

CORDIS: Technological sciences > Engineering > Control engineering > Automation

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6