Abstract: In order to improve the stability of generator speed and power of the wind turbine above rated wind speed, this paper establishes the model of a variable speed pitch regulated wind turbine based on the running characteristics of the wind turbine. Because of the low convergence rate of the Genetic Algorithm（GA）, Fuzzy-GA control theory is adopted to amend the parameters of the PID controller. The simulation results show that the Fuzzy-GA PID controller not only improves the convergence rate of the GA controller, but also performs better than the GA controller in both dynamic performance and system stability.

Key words: wind turbine, pitch control, Genetic Algorithm（GA）, Fuzzy GA

摘要： 为提高额定风速以上风力发电机组发电机转速和输出功率的稳定性，基于风电机组的运行特性，建立了风电机组变桨距控制仿真模型；针对遗传算法收敛速度慢的缺点，采用模糊遗传算法对PID控制器参数进行整定。仿真结果表明，基于模糊遗传的控制器不仅提高了遗传算法的收敛速度，且在动态性能及系统稳定性方面均优于遗传算法控制器。

关键词: 风电机组, 变桨距控制, 遗传算法, 模糊遗传