DESIGN AND PERFORMANCE EVALUATION OF A FUZZY-LOGIC-BASED VARIABLE-SPEED WIND GENERATION SYSTEM

Artificial intelligence techniques, such as fuzzy logic, neural networ k, and genetic algorithm, are recently showing a lot of promise in the application of power electronic systems. The paper describes the cont rol strategy development, design, and experimental performance evaluat ion of a fuzzy-logic-based variable-speed wind generation system that uses a cage-type induction generator and double-sided pulsewidth-modul ated (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 efficie ncy and enhance performance. A complete 3.5-kW generation system has b een developed, designed, and thoroughly evaluated by laboratory tests, in order to validate the predicted performance improvements. The syst em gives excellent performance and can easily be translated to a large r size in the field.