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.