基于模糊PID的风电系统转速控制仿真研究

由于风速具有随机性、不确定性、变化范围大等特点,风力发电机转速若采用传统PID控制,仅一组固定的参数难以在不同风速下均有好的控制效果。分析了风力发电系统各参数之间的关系,结合PID控制和模糊控制各自的特点,设计了模糊自适应PID控制器。在额定风速以下,该控制器用于改变发电机定子电压,从而改变发电机反力矩,调节转速,使得输出功率快速跟随风速变化。MATLAB/Simulink仿真结果证实其稳定性、动态速度响应均优于传统的PID控制,取得了较为理想的控制效果。

Speed Control Simulation of Wind Power Generation System Based on Fuzzy-PID Controller

As the wind speed is stochastic, uncertain and largely variable, a set of PID parameters can hardly achieve satisfactory control performance for the wind generator speed. This paper explores relationships among the parameters of the wind power generation system. Based on the characteristics of the PID control and fuzzy control, this paper also presents the design of a fuzzy adaptive PID controller. This controller is used to change the stator voltage below the rated wind speed, so that the generator＇s counter-torque can be changed and the speed adjusted. As a result, the output power follows with wind speed changes quickly. Detailed simulation results have confirmed that the stability of dynamic and speed response of the fuzzy- PID controller is better than the traditional PID controller with a satisfactory control performance.