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

¹ Industrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Morocco
² Spectrometry of Materials and Archaeomaterials Laboratory, Higher School of Technology, Moulay Ismail university, Meknes, Morocco

^* Corresponding author: abdelfatah.elouadiki@usmba.ac.ma

Abstract

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 PI^λ 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 PI^λ 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.