Power quality (PQ) issues in renewable energy systems, especially in wind energy conversion systems (WECS), are a significant challenge when integrating them into the grid. Variations in wind speed and dynamic load conditions often result in voltage fluctuations, harmonic distortions, and other PQ disturbances like Reacting power issues and transient phenomena. These issues we can mitigate by using advanced control devices to control power flow which provides grid stability and similarly by inserting some power electronic devices that stabilize the power flow or by using storage systems integrating and in many other ways. This paper proposes a novel approach using the Coati Optimization Algorithm which is robust and provides good efficiency it initializes and evaluates and shares the information and required movements to update is tuned to a Cascaded Proportional Integral Derivative—Proportional Integral (CCPID-PI) controller for a Shunt Active Power Filter (SAPF) to mitigate these PQ issues. By dynamically adapting to changing load conditions, the CCPID-PI controller helps ensure the wind power system operates at optimal performance, significantly reducing harmonic distortions improving voltage regulation and stability, and decreasing losses in the system. Simulation results verify the efficiency of the proposed methodology under varying wind speeds and load conditions.