改进灰狼优化算法在变桨距自抗扰控制中的应用

风电机组模型的不确定性以及风等外部干扰严重影响风电机组输出功率的稳定性,因此,将自抗扰控制器(ADRC)引入到风电机组变桨距控制中。当风速高于额定风速时,通过自抗扰变桨距控制策略有效调节桨距角,保证风电机组输出功率的稳定性。但ADRC参数繁多,仅靠专家经验进行整定比较困难。因此,文章提出将改进灰狼优化算法应用到ADRC中,完成参数的自寻优整定过程。仿真结果证明,经改进灰狼优化算法进行参数整定后的变桨距自抗扰控制系统能够对桨距角进行精确调整,并将输出功率快速稳定到额定值附近,具有较快的响应速度以及较好的抗扰动能力。

Application of improved grey wolf optimization algorithm in variable pitch auto disturbance rejection control

The uncertainty of the wind turbine model and external disturbances such as wind seriously affect the stability of the output power of the wind turbine.Therefore,the ADRC is introduced into the pitch control of the wind turbine.When the wind speed is higher than the rated wind speed,the pitch angle is effectively adjusted by the auto disturbance pitch control strategy to ensure the stability of the wind turbine's output power.However,there are many parameters of ADRC,and it is difficult to set up by expert experience alone.Therefore,it is proposed to apply the improved gray wolf optimization algorithm to ADRC to complete the self-optimization tuning process of parameters.The simulation results show that the variable pitch auto disturbance rejection control system can improve the pitch angle accurately and stabilize the output power to near the rated value with the improved gray wolf algorithm.It has a fast response speed and better anti-disturbance capability.