MPPT Using Adaptive Genetic-Fuzzy Logic Control for Wind Power System

Abstract

This study proposes a fuzzy-based MPPT controller used to extract the maximum power point (MPPT) from the WECS using doubly fed induction generator (DFIG). The MPPT was accomplished by applying control to the generator speed and blade pitch angle. The parameters of the FLC are optimized by using a genetic algorithm (GA). Initial simulation results prove that the proposed MPPT algorithm possesses good dynamic and steady state performances under different operating conditions.