摘要
本文以 Tank和 Hopfield神经网络为基础 ,建立了一种由主从网络构成的电力系统状态估计神经网络模型。理论分析和实例模拟结果表明 :该网络是稳定的 。
This paper applies a neural network model based on Tank and Hopfield network to state estimation in power system. This model is comprised of a main network and a subsidiary network. Theoretical analysis and simulations prove that this networks is stable, and this method is validated.
出处
《电力系统及其自动化学报》
CSCD
2002年第6期49-51,59,共4页
Proceedings of the CSU-EPSA
关键词
神经网络
电力系统
状态估计
state estimation, power system, neural network
