<p>This study proposes a rotor-side control approach for a wind energy conversion system using a doubly fed induction generator (DFIG) operating across a range of speeds. A fractional-order proportional-integral (FOPI) controller is implemented to improve energy capture by dynamically adjusting the generator’s rotational speed, enabling efficient maximum power point tracking (MPPT) under varying wind conditions. The fractional-order control provides enhanced flexibility and adaptability, improving steady-state performance by reducing speed deviations during wind fluctuations. The controller gains, along with the fractional order, are tuned using particle swarm optimization (PSO) to minimize errors in speed and electromagnetic torque, ensuring efficient operation across a wide range of wind speeds. Additionally, a conventional proportional-integral (PI) controller is employed for rotor current regulations to maintain the stability and improve the power factor of the system. Simulation results conducted in MATLAB/Simulink demonstrate that the FOPI controller enhances steady-state speed tracking and maximizes power extraction. The proposed control strategy offers a robust solution for rotor-side power control in DFIG-based wind turbines, with the results demonstrating the robustness and efficiency of the proposed approach in enhancing overall system performance. These findings highlight the potential of fractional-order control to improve power output and maintain reliable operation under varying wind conditions, making it a strong candidate for the development of efficient wind energy conversion systems.</p>