Performance Enhancement of DFIG Based Wind Energy System Using PSO-SOSMC Algorithm

The research focuses on developing and simulating a wind power system (WPS) with a doubly-fed induction generator (DFIG). Two second-order sliding mode controllers (SOSMC) are employed to minimize active and reactive power and current ripples, ensuring stable power injection into the grid. Unlike traditional sliding mode controllers, the SOSMC offers greater robustness and effectively reduces the chattering effect caused by the SMC's discontinuous control. Its advantages include simplicity, ease of use, robustness, and quick response. The particle swarm optimization (PSO) algorithm is utilized to optimize the SOSMC parameters, enhancing its performance. MATLAB simulations confirm the proposed method's success in reducing chattering and achieving precise control of DFIG-generated WP.