Enhanced Control of Doubly Fed Induction Generator Based Wind Turbine System Using Fractional-Order Fuzzy PD+I Regulator

Abstract

This paper introduces an innovative control strategy for wind turbine systems (WTS) based on doubly fed induction generators (DFIGs). The strategy employs a fractional-order fuzzy PD+I (FO Fuzzy PD+I) regulator, which is optimized using the social spider optimizer (SSO) algorithm. This approach marks a significant advancement in DFIG control compared to existing methods that rely on traditional PI regulators. The proposed FO Fuzzy PD+I regulator leverages the combined strengths of fuzzy logic and fractional-order control, resulting in superior performance and robustness in DFIG current control. It effectively addresses uncertainties in DFIG parameters and wind speed variations, while enabling independent active and reactive power regulation for enhanced grid integration and power quality management. The efficacy of the proposed approach is validated through simulations across diverse operational scenarios, encompassing step changes in active power reference and rapid fluctuations in wind speed. The optimized FO Fuzzy PD+I regulator consistently outperforms the traditional PI regulator in terms of integral time absolute error (ITAE), peak overshoot, maximum undershoot, settling time, and total harmonic distortion (THD) of DFIG current. This research represents a significant contribution to the field of DFIG control, offering a more effective and robust solution for wind turbine operation, ultimately leading to improved power quality and grid integration capabilities.