风电机组变桨距模糊遗传控制算法研究

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。

Research on fuzzy genetic algorithm of wind turbine pitch control

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.