摘要
给出了一种基于神经网络广义逆系统的汽轮发电机汽门开度控制策略 ,在无需系统模型参数和状态反馈的情况下 ,可实现非线性系统的大范围线性化 ,从而实现非线性系统的线性化控制。对单机无穷大系统的仿真表明 ,应用该控制策略可显著地增强电力系统的暂态稳定性。
A novel ANN- based generalized inverse system control strategy for turbo- generator governor is proposed.Without knowing the system model param eter and operating state,this control strategy can realize the linearization of large- scale nonlinear system and hence the linear control of the nonlinear system.Simulation results of a single machine infinite- bus system show that the transient stability of the system is considerably improved by using the proposed control strategy.
出处
《电力系统自动化》
EI
CSCD
北大核心
2000年第17期25-27,52,共4页
Automation of Electric Power Systems
关键词
神经网络
汽轮发电机
广义逆系统控制
汽门开度
inverse system
governor control
artificial neural networks ANN
nonlinear control
