摘要
本文提出了一种电力系统三相短路电流计算的新方法─—人工神经网络方法。该方法使用了自适应模型识别概念和基于广义逆学习算法（ＧＩ）的函数链网络（ＦＬＮ）技术。ＦＬＮ用来估计短路电流基本特征。数值计算实例表明所提出的方法是可行的。
In this paper,a novel approach is pre-sented for short-circuit studies in three-phase system.using the adaptive pattern recognition concept andfunctional link net (FLN)technology based on generalinversion (GI)learning method.FLN is used to assesthe essential characteristics of short-circuit currents.It is showed that the proposed method is desirable bycomputer simulation in variou,network topology andparameters of a power system.
出处
《电网技术》
EI
CSCD
北大核心
1995年第4期8-10,共3页
Power System Technology
关键词
电力系统
短路电流
计算
Power system Short-circuit cur-rents Functional link net.
