A robust maximum power point tracking from wind turbines using fractional order PI controller

Wind Advanced and adaptive control methodologies are necessary to ensure optimal operation of wind power systems under variable climatic conditions. In this article, a new MPPT technique using a fractional-order proportional-integral PIλ controller is proposed for for doubly-fed induction generator (DFIG)-based wind turbines and validated using a real wind profile from Dakhla. The controller parameters are optimized through MATLAB scripts using a frequency-domain tuning approach that ensures system stability and practical implementation via a low-order rational approximation. Simulation results demonstrate that the proposed PIλ controller significantly accelerates convergence to the maximum power point, reduces response time by up to 92%, and enhances precision, stability, and robustness compared to the conventional PI controller. Moreover, the computational load associated with the fractional term remains compatible with real-time implementation (dSPACE/FPGA), paving the way for practical integration into modern wind energy systems.