Evaluation of fuzzy-based maximum power tracking in wind energy conversion systems (WECS)

Intelligent control techniques can play a pivotal role in improving the performance and the efficiency of wind energy conversion systems (WECS). A new scheme composed of two fuzzy systems is proposed here to achieve this goal. The first fuzzy system mimics the hill climb search technique to yield the maximum power as a set point. The second fuzzy system is an adaptive PI-like controller that tracks the set point. Simulation results show that the proposed algorithm can significantly improve the efficiency.