Abstract
Abstract
Abstract Tracking performance is a key requirement for wind turbine systems based on Doubly-Fed Induction Generators. The original contribution is the systematic design of a fractional-order PI controller in the frequency domain that includes clear criteria for robustness, such as limits on phase margin and gain variance. This method guarantees a regulation that is both reproducible and physically sound, taking into account the system's high inertia. This is not the case with heuristic tuning methods. MATLAB/Simulink simulations using both deterministic stepwind profiles and a stochastic wind profile confirmed the method. The results show a clear link between changes in wind speed and the changing responses of aerodynamic and electromagnetic torque and power. The proposed FOPI controller achieves a settling time of 0.0027 s, which is 89% faster than the conventional PI controller. Also, the steady-state inaccuracy goes down by 67% to 0.15 rad/s, with little overshoot of 0.036%. The method makes sure that the power coefficient and Tip Speed Ratio stay close to their best values. This makes tracking more accurate and makes the system more resistant to turbulence. This study finds that the frequency-designed FOPI controller offers a high-performance, industrially viable option for effective energy extraction in contemporary systems for converting wind energy.
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@article{Ouadiki2026Fractional,
title = {Fractional-Order PI-Based MPPT Control for Improved Power Quality and Dynamic Stability in DFIG Wind Energy Conversion Systems},
author = {Abdelfatah El Ouadiki and Mohammed Taoussi and Mohammed Es-Salmi},
journal = {Engineering Research Express},
year = {2026},
doi = {10.1088/2631-8695/ae8781},
url = {https://doi.org/10.1088/2631-8695/ae8781}
}
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