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基于FLN的电力系统三相短路电流计算
引用本文:张潮海 周其节. 基于FLN的电力系统三相短路电流计算[J]. 电网技术, 1995, 19(4): 8-10
作者姓名:张潮海 周其节
作者单位:华南理工大学
摘    要:本文提出了一种电力系统三相短路电流新方法-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。

关 键 词:电力系统 短路电流 计算

A NEURAL-NET APPROACH TO CALCULATION OF SHORT-CIRCUIT CURRENTS IN THREE-PHASE SYSTEM
Zhang Chaohai, ZhouQijie. A NEURAL-NET APPROACH TO CALCULATION OF SHORT-CIRCUIT CURRENTS IN THREE-PHASE SYSTEM[J]. Power System Technology, 1995, 19(4): 8-10
Authors:Zhang Chaohai   ZhouQijie
Affiliation:South China University of Technology Guangzhou. 510641 China
Abstract: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.
Keywords:Power system Short-circuit cur-rents Functional link net.  
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