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

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.