Design and performance evaluation of a fuzzy-logic-based variable-speed wind generation system
- Univ. of Sao Paulo (Brazil)
- Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering
- Environmental Protection Agency, Research Triangle Park, NC (United States). Air and Energy Engineering Research Lab.
Artificial intelligence techniques, such as fuzzy logic, neural network, and genetic algorithm, are recently 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 pulsewidth-modulated (PWM) converters. The system can feed a utility grid maintaining unity power factor at all conditions or can supply an autonomous load. The fuzzy-logic-based control of the system helps to optimize efficiency and enhance 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.
- OSTI ID:
- 538135
- Journal Information:
- IEEE Transactions on Industry Applications, Vol. 33, Issue 4; Other Information: DN: Paper presented at the 1996 Industry Applications Society annual meeting, October 6--10, San Diego, CA (US); PBD: Jul-Aug 1997
- Country of Publication:
- United States
- Language:
- English
Similar Records
Fuzzy logic based intelligent control of a variable speed cage machine wind generation system. Report for January 1994-June 1995
A rule-based fuzzy logic controller for a PWM inverter in a stand alone wind energy conversion scheme