Finite-Control-Set Model Predictive Control (FCS-MPC) and Fuzzy Self-Adaptive PI Controller (FSA-PIC) for Wind Turbine System Based on DFIG

This paper aims at conducting a comparative analysis between two control strategies, namely the finite-control-set model predictive control (FCS-MPC) and the fuzzy self-adaptive proportional-integral controller (FSA-PIC), for regulating the rotor side converter (RSC) in a wind turbine system (WTS) based on a doubly-fed induction generator (DFIG). This study seeks to assess the performance of these strategies with regard to precision and stability when faced with random variations in wind speed and changes in system parameters. To achieve this objective, numerous numerical tests have been carried out within the MATLAB/Simulink environment, employing a 1.5 MW WTS model. The results obtained from these tests consistently demonstrate that the FCS-MPC outperforms the FSA-PIC in terms of accuracy, robustness, and the minimization of power fluctuations across all operational scenarios.