This study presents a novel control strategy to improve the performance analysis of a DFIG-based wind power system. The main objective is to improve the quality of the produced energy, reduce the THD and enhance the system stability. The proposed method employs the RTO algorithm combined with the super-twisting control, applied within a sliding mode control. Although the latter is frequently applied in wind system control, it has major drawbacks, including a high THD, mainly caused by the chattering phenomenon. The proposed control strategy aims to mitigate this phenomenon while ensuring better robustness against variations in system parameters. The simulation results confirm the effectiveness of the proposed controller, using Matlab/Simulink environment, and experimental tests conducted on a workbench using the dSPACE-DS1104-board. The results from both simulations and experimental tests demonstrate the superior performance of the proposed controller compared to conventional techniques, with current THD below 3%, active and reactive power tracking errors reduced to 0.11%, and overall efficiency reaching 98.88%.
Alturki et al. (Wed,) studied this question.