Optimization of DFIG Performance in Wind Energy Systems Using Fuzzy Logic Control and Harmonic Mitigation

Abstract

This paper proposes a comprehensive approach to optimize the performance of vector controlled Doubly Fed Induction Generator (DFIG) based wind energy systems by integrating fuzzy logic control and harmonic mitigation techniques. Renewable energy sources have gained interesting attention due to their environmental benefits, with wind energy emerging as a leading option for sustainable power generation. Among various wind turbine technologies, DFIG based systems are highly regarded for their variable speed operation, efficient energy capture and economic viability. In this study, a fuzzy logic controller (FLC) is developed to regulate the rotor part of the DFIG, ensuring precise and robust control of active and reactive power. Compared to conventional proportional-integral (PI) controllers, the FLC achieves 40% reduction in settling time and eliminates overshoot, enhancing the dynamic response and overall system stability. To address the harmonic distortions caused by power electronic voltage source converters (VSCs) at the point of common coupling (PCC), an LCL filter is employed to suppress unwanted harmonics and deliver cleaner sinusoidal waveforms. Furthermore, the integration of a multilevel VSC, controlled via Space Vector Pulse Width Modulation (SVPWM) with LCL filter, improves the output voltage waveform and minimizes Total Harmonic Distortion (THD). This dual control strategy harmonic mitigation combined with fuzzy logic-based rotor speed regulation ensures optimal power transfer, improved grid compliance and enhanced power quality. The proposed methodology is thoroughly analyzed, modeled and validated using MATLAB/Simulink. The results demonstrate significant improvements in DFIG system performance including reduced THD, better power quality and fast dynamic responses. This research offers a novel and practical solution for optimizing DFIG-based wind energy systems, contributing to the advancement of renewable energy technologies and grid integration.