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.

In this paper, an intelligent controller is proposed to improve the stator voltage magnitude regulation performance of a wind-driven DFIG feeding local AC loads. Unlike in grid-connected mode, the rotor side control (RSC) focus during standalone operation is to generate a constant stator voltage amplitude and frequency under variable conditions such as wind-speed changes and load variations. The objective is to replace the classic PI control technique with a robust fuzzy logic technique to achieve high-performance stator voltage control. The control algorithm has been implemented on the dSPACE1104 system with a real 3 kW DFIG in the LGEB laboratory, demonstrating its practical viability. The performance of the developed fuzzy logic-based intelligent voltage controller is evaluated by comparison with the conventional PI controller under different operating conditions. The findings demonstrate the superior performance of the fuzzy logic controller in stator voltage control compared to the conventional PI controller.

This article presents direct flux-vector control (DFC), a new control strategy based on direct torque control (DTC), for a doubly fed induction generator (DFIG) driven by wind, feeding AC loads without grid access