This paper introduces a novel fractional-order fuzzy logic controller (FOFLC) designed for stator voltage control in standalone doubly fed induction generator (DFIG) systems used in wind energy applications. Unlike traditional fuzzy logic controllers (FLCs), which are limited by integer-order dynamics, the FOFLC leverages the advanced principles of fractional-order (FO) calculus. By integrating fuzzy logic with fractional-order operators, the FOFLC enhances system precision, adaptability, and interpretability while addressing the inherent limitations of conventional proportional-integral (PI) controllers and integer-order FLCs. A key innovation of the FOFLC is its dual-mode architecture, enabling it to operate seamlessly as either a traditional FLC or a fractional-order FOFLC controller. This versatility allows for independent tuning of fractional parameters, optimizing the system’s response to transients, steady-state errors, and disturbances. The controller’s flexibility makes it particularly well-suited for nonlinear and dynamically complex stand-alone renewable energy systems. The FOFLC is experimentally validated on a 3-kW DFIG test bench using the dSPACE-1104 platform under various operating conditions. Compared to a conventional PI controller, the FOFLC demonstrated superior performance, achieving 80% reduction in response time, eliminating voltage overshoot and undershoot, reducing stator power and torque ripples by over 46%, and decreasing total harmonic distortion (THD) of both stator voltage and current by more than 50%. These results confirm the FOFLC’s potential as a robust and adaptive control solution for stand-alone renewable energy systems, ensuring high-quality power output and reliable operation.

The increased adoption of nonlinear loads, particularly in the renewable energy and automotive sectors, generates harmonics that directly affect electricity transmission systems, influencing the operation of the power grid and potentially leading to a significant deterioration in the quality of electrical energy, as well as socioeconomic repercussions. This means that it is essential to improve the quality of electrical energy while ensuring that nonlinear loads are integrated in a manner that is compatible with the grid. To overcome these problems, the use of active power filters is one of the most effective solutions for improving electrical power quality. In this article, we propose an integral backstepping control technique for a three-phase active power filter to improve electrical power quality by providing better harmonic compensation. The integral action integrated into backstepping improves the robustness of the system against parametric uncertainties and external and/or internal disturbances, thus ensuring the optimization of the active power filter, and consequently improving the quality of electrical energy in the network by compensating for harmonics. This control technique is compared to classic backstepping in order to verify the effectiveness of the integral action backstepping controller proposed for the APF. The results of simulations and experimental tests carried out in various cases demonstrate its performance. Our system perfectly compensates for harmonics in accordance with standards. The proposed integral backstepping controller is more robust than the classic backstepping controller in terms of harmonic distortion reduction, stability, and speed thanks to a reduced response time and minimized ripple. The results obtained demonstrate its increased performance and efficiency in improving power quality, as well as its socioeconomic impact for industries.