Mitigating Power Oscillations in DPIG Wind Turbines via Particle-Swarm-Optimized Fractional-Order PI Control

Abstract

This study improves the field-oriented control (FOC) strategy used in double-powered induction generator (DPIG) wind-turbine systems by replacing traditional proportional–integral (PI) controllers with fractional-order PI regulators tuned through particle swarm optimization (FOPI-PSO). The proposed FOC–FOPI-PSO framework integrates three optimized controllers that enhance energy extraction and stabilize the power delivered to the grid. In contrast to previous PSO-based fractional or hybrid control approaches—which often add computational burden or focus on different machine configurations—this work embeds a PSO-tuned fractional PI controller directly into the standard FOC architecture of a DPIG. This preserves the simplicity of conventional PI implementation while specifically improving DPIG power-flow behavior, delivering quicker transient response and substantially attenuated power oscillations. MATLAB simulations demonstrate marked performance gains: active-power oscillations are reduced by 90.90%, response time improves by 2.52%, and steady-state error drops by 89.09% relative to traditional FOC–PI control. Additionally, current total harmonic distortion decreases by approximately 99.46%. These results highlight the proposed method as a highly effective and reliable control solution for modern wind-energy systems.