基于BP神经网络的风力发电机组变桨距控制仿真研究

Simulation research on variable-pitch control of wind power generation based on BP neural network

在分析风力发电系统对于变桨距的要求上,建立系统的仿真模型,并在此基础上提出了一种基于BP神经网络的变桨距控制方法。该方法利用神经网络的非线性控制模型,解决了难以精确控制的困难。以风速为输入对象,以桨距角为输出对象对高于额定风速时进行控制,以使风力发电系统在高风速时平稳运行于额定功率。最后,以MATLAB的仿真模块进行验证仿真,结果证明提出方法的有效性和实用性。

It set up a simulation model according to the variable-pitch control request of the wind power system and put forward a variable-pitch control method based on BP neural network.This method can overcome the difficulties of the accurate control by using a BP nonlinear control model.The wind speed is adapted as the input.The pitch angle is controlled when the wind speed is over the rated speed to ensure the generator with a stable rated power.Finally,the verification is taken on the simulation model.The simulation result shows that the control method is effective and practical.