用BP网进行变速风力发电机组控制分析

Analysis on the Control of Variable Speed Wind Turbine Using Neural Network Controller

传统的控制需要精确的风力发电机的数学模型,而因为空气动力学的不确定性和电力电子的复杂性,使风力机系统精确模型难以建立,特别是在风速突变以及有扰动存在时,风力机的控制和分析很复杂;为了克服这一困难,用神经网对变速风力发电机组进行控制;设计功率系数曲线的BP网模型及最佳桨距角的BP网模型,在低风速时跟随风速获得最大功率系数,高风速时保持功率最大并在允许范围内.在MATLAB环境下给出了用BP网对变速风力发电机控制的仿真模型和仿真结果,显示采用神经网控制器控制有很好的抗风速突然波动的作用,能有效地抑制扰动.

It is very difficult to build the accurate mathematical model of the wind turbine generator system because of the uncertainty of air kinetics and the complexity of power electronics, especially when the wind speed changes abruptly or there is a disturbance. But the classical control needs the model. Using neural network controller to the wind turbine generator system can overcome these difficulties. The wind speed can be followed and the maximum power can be obtained under low wind speed by using the power coefficient curve BP neural network and the optimum pitch angle BP neural network. The maximum power can be kept and under the allowed range in the condition of high wind speed. The simulation model and result are given under the environment of MATLAB. The fluctuation of wind speed can be controlled and the disturbance can be cancelled by BP neural network controller.