In order to solve the unbalanced load and power fluctuation problems of large wind turbines operating at high wind speeds, and at the same time to effectively reduce the noise, a PID(proportional, integral, derivative) independent pitch control strategy based on the optimization of whale swarm algorithm (WSA) was proposed. Firstly, the aerodynamic load model of the wind turbine was established by using the theory of leaf vein momentum, and the source of the aerodynamic load problem and the generation mechanism of aerodynamic noise were analyzed. Secondly, in order to effectively suppress the unbalanced load and power fluctuation, the WSA-ICN(iterative counter and neighborhood) algorithm was combined with the PID control method, and the wind turbine independent pitch control model based on WSA-ICN optimization was built. Finally, the load and noise characteristics under different control strategies were deeply analyzed by FAST-Simulink joint simulation platform. The results show that the proposed control strategy outperforms the traditional control method in suppressing unbalanced load and power fluctuation, and reduces the electrical noise of the wind turbine to a certain extent, which verifies the effectiveness of the optimized control model.