Wind energy is a clean, renewable resource that significantly reduces greenhouse gas emissions
and air pollution compared to fossil fuels. By harnessing wind to generate electricity, it helps
mitigate climate change and preserve natural ecosystems. This study focuses on the integration
of a Fuzzy Logic Controller (FLC) in a Wind Energy Conversion System (WECS) utilizing a
Doubly Fed Induction Generator (DFIG). The DFIG is utilize WECS for its ability to efficiently
handle variable wind speeds and optimize energy output by allowing control of active and
reactive power. Pulse Width Modulation (PWM) rectifier used convert from AC to DC in the
wind energy that controlled by the FLC controller. Proportional-Integral (PI) controller handle
to manage Voltage Source Inverter (VSI) for supplying power into grid. Moreover, this study
implemented through the utilization of MATLAB software to perform simulations and
analyses. The research demonstrates that employing an FLC enhances the overall effectiveness
and adaptability of wind energy systems, contributing significantly to the broader goal of
transitioning to sustainable and clean energy sources.