摘要
基于BP神经网络和逆系统方法设计了一种神经网络逆系统控制方法,并将其应用于同步发电机励磁控制系统。采用Matlab对单机无穷大系统进行了仿真研究,结果表明了该控制方法的适应性和鲁棒性,有利于提高电力系统稳定性。
A neural network inverse system control method was designed and applied to the excitation control system of synchronous generator based on BP neural network and inverse system method.The Single machine infinite bus system was investigated by the simulation in MATLAB.The results showed that the proposed control method is effective and robust,which is advantageous to improving the stability of power system.
出处
《华东电力》
北大核心
2010年第3期373-376,共4页
East China Electric Power
基金
上海教委重点科研项目(06ZZ69)
上海市教委重点学科建设项目(J51301)
关键词
同步发电机
励磁控制
神经网络
逆系统
synchronous generator
excitation control
neural network
inverse system
