为了解决大型风电机组在高风速运行时存在的不平衡载荷及功率波动问题，同时有效降低噪声，提出了一种基于鲸鱼群算法（whale swarm algorithm, WSA）优化的比例、积分、微分（proportional, integral, derivative, PID）独立变桨控制策略。首先，利用叶素动量理论建立了风机气动载荷模型，并对气动载荷问题的来源及气动噪声的产生机理进行分析。其次，为有效抑制不平衡载荷及功率波动，将WSA-ICN（iterative counter and neighborhood）算法与PID控制方法相结合，搭建了基于WSA-ICN优化的风电机组独立变桨控制模型。最后，通过FAST-Simulink联合仿真平台，深入分析了不同控制策略下的载荷和噪声特性。结果表明：所提控制策略在抑制不平衡载荷及功率波动方面表现优于传统控制方法，且一定程度上降低了风电机组电气噪声，验证了该优化控制模型的有效性。

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.