Researchers have unveiled a novel control strategy, the Fractional-Order Fuzzy Logic Direct Voltage Control (FOFL-DVC), significantly enhancing the stability and performance of stand-alone Doubly Fed Induction Generator (DFIG) wind energy systems. This development marks a critical advancement for off-grid renewable energy applications, where maintaining consistent power quality under fluctuating wind speeds and variable loads presents substantial challenges.

DFIGs remain the dominant technology for onshore wind farms, accounting for over 58% of global onshore capacity, primarily due to their cost-effectiveness and variable-speed operation enabled by partial-scale converters. However, their autonomous operation, particularly in isolated contexts lacking grid support, demands sophisticated control to ensure stable stator voltage and frequency. Conventional control methods, such as Proportional-Integral (PI) controllers and classical fuzzy logic controllers (FLCs), often exhibit limitations in adapting to parameter uncertainties and external perturbations, leading to suboptimal performance or instability.

Addressing these limitations, the proposed FOFL-DVC strategy integrates fractional-order operators into a fuzzy logic control framework. Unlike traditional FLCs that rely on integer-order components, the fractional-order counterparts provide a more flexible and tunable control architecture. This enhancement allows for finer adjustment of the system response, significantly improving robustness against external disturbances and rapid load changes. The direct voltage control (DVC) scheme, known for its straightforward structure and reduced parameter reliance, forms the basis for this advanced fuzzy logic integration.

The efficacy of the FOFL-DVC strategy has been rigorously validated through comprehensive simulations in MATLAB/Simulink and, notably, through real-time experimental testing using a dSPACE-1104 platform. Results consistently demonstrate the strategy's high performance under both steady-state and transient conditions, ensuring stable operation across a wide range of wind speeds and load disturbances. This real-time experimental validation, particularly for stand-alone DFIG configurations, fills a notable gap in existing literature, where most studies emphasize simulation-based validation or grid-connected applications.

This innovation is poised to bolster the reliability of wind energy in rural electrification initiatives and microgrid developments, offering a robust solution for decentralized power generation. By enabling DFIGs to operate autonomously with enhanced stability and power quality, the FOFL-DVC strategy contributes directly to the expansion of resilient and sustainable energy infrastructures globally.