通过FAST和Simulink联合仿真,建立风电机组整体模型,基于载荷反馈建立风电机组独立变桨PI控制模型,利用麻雀搜索算法进行PI参数的整定,将所得寻优参数导入风电机组模型中,并与基于粒子群优化算法建立的独立变桨控制器、经典统一变桨控制器进行对比。仿真结果表明：基于载荷反馈建立的独立变桨控制模型可有效抑制叶根处不平衡载荷,利用麻雀搜索算法建立的独立变桨控制器相对于另外两种控制器可显著减小风电机组叶根处不平衡载荷,具有更快的桨距角响应速度和更稳定的输入转速、输出功率。
Abstract
The integrated model of wind turbine was established through the co-simulation of FAST and Simulink, and the individual pitch PI control model was established based on the load feedback. The sparrow search algorithm was used to set PI control parameters, the optimized parameters were imported into the wind turbine model, and compared with the individual pitch controller based on particle swarm optimization algorithm and the classical collective pitch controller. The simulation results show that the individual pitch control model based on load feedback can effectively suppress the unbalanced load at the blade root. Compared with the other two controllers, the individual pitch controller established by sparrow search algorithm can significantly reduce the unbalanced load at the blade root of wind turbine. It has faster pitch angle response speed and more stable input speed, output power.
关键词
风电 /
风力机 /
PI控制 /
独立变桨控制 /
麻雀搜索算法
Key words
wind power /
wind turbines /
PI control /
individual pitch control /
sparrow search algorithm
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