Design and performance evaluation of a fuzzy logic based variable speed wind generation system

Author

Simões, M. Godoy ; Bose, Bimal K. ; Spiegel, Ronald J.

Author_Institution

Sao Paulo Univ., Brazil

Volume

1

fYear

1996

fDate

6-10 Oct 1996

Firstpage

349

Abstract

Artificial intelligence techniques, such as fuzzy logic, neural network and genetic algorithm are showing a lot of promise in the application of power electronic systems. The paper describes the control strategy development, design and experimental performance evaluation of a fuzzy logic based variable speed wind generation system that uses a cage type induction generator and double-sided PWM converters. The system can feed a utility grid maintaining unity power factor at all conditions, or can supply to an autonomous load. The fuzzy logic based control of the system helps to optimize the efficiency and enhance the performance. A complete 3.5 kW generation system has been developed, designed and thoroughly evaluated by laboratory tests in order to validate the predicted performance improvements. The system gives excellent performance, and can easily be translated to a larger size in the field

Keywords

PWM power convertors; artificial intelligence; asynchronous generators; fuzzy control; genetic algorithms; machine control; magnetic flux; power factor; variable speed gear; velocity control; wind turbines; 3.5 kW; artificial intelligence techniques; cage type induction generator; double-sided PWM converters; efficiency optimisation; fuzzy logic based variable speed wind generation system; fuzzy programming; generator flux; genetic algorithm; neural network; performance enhancement; power electronic systems; unity power factor; Artificial intelligence; Artificial neural networks; Control systems; Electric variables control; Fuzzy logic; Genetic algorithms; Induction generators; Power electronics; Wind energy generation; Wind speed;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 1996. Thirty-First IAS Annual Meeting, IAS '96., Conference Record of the 1996 IEEE

Conference_Location

San Diego, CA

ISSN

0197-2618

Print_ISBN

0-7803-3544-9

Type

conf

DOI

10.1109/IAS.1996.557044

Filename

557044