Fuzzy Logic–Based Control with MPPT for Power Quality Enhancement in DFIG Wind Energy Systems

This paper explores the control challenges in wind energy conversion systems (WECS) that use a doubly fed induction generator (DFIG) combined with advanced power converters, aiming to enhance power quality and dynamic performance. Indeed, the proposed control technique based on fuzzy logic controller (FLC) is developed to enhance overall performance of the studied system. The back-to-back converter technology allows bidirectional power flow and enhances the waveform quality and ensuring efficient energy conversion. To extract the maximum power from the wind turbine, we use a perturb and observe (P&O)-based maximum power point tracking (MPPT) algorithm. The system is modeled in the dq-reference frame and tested under both step-change and random wind speed profiles. MATLAB/Simulink results demonstrate that the proposed control strategy effectively maintains system stability and significantly improves power quality under varying wind conditions.