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基于人工神经网络的智能型自适应保护──(Ⅰ)原理和模型结构
引用本文:陈允平,龚庆武,马宁,康健. 基于人工神经网络的智能型自适应保护──(Ⅰ)原理和模型结构[J]. 武汉大学学报(工学版), 1998, 0(2)
作者姓名:陈允平  龚庆武  马宁  康健
摘    要:介绍了一种基于人工神经网络的智能型自适应继电保护原理其基本思想是利用了比传统保护多得多的信息量它比传统保护能区分更多的故障类型,提高了继电保护的适用范围,如从原理上解决了经高阻抗的短路故障保护问题.本保护的人工神经网络由3个子网络组成:先采用第一个三层BP网络对输电线路一侧的电流、电压信号进行前置处理,得到其特征量(各次谐波的幅值);然后,在不同运行工况和不同类型的区内外故障时,再把特征量输入第二个三层BP网络,以判别区内外故障;第三个BP网络用于故障相判别.

关 键 词:人工神经网络;智能型;自适应继电保护;BP算法

ANN based Intelligent Adaptive Relaying Protection(I) Principle and Model Structure
Chen Yunping Gong Qingwu Ma Ning Kang Jian. ANN based Intelligent Adaptive Relaying Protection(I) Principle and Model Structure[J]. Engineering Journal of Wuhan University, 1998, 0(2)
Authors:Chen Yunping Gong Qingwu Ma Ning Kang Jian
Affiliation:College of Electric Engineering
Abstract:A scheme of an artificial neural network based(ANN based) adaptive protection is presented. The protection consists of three sub ANNs. All of these subnetworks have three layers. The first subnetwork is used to pre process the voltage and current signals which are sampled from one terminal of transmission line. The output of the first subnetwork connect to the input of the second subnetwork to discriminate the fault within or beyond the protective zone. The third subnetwork is used to classify the fault phase.
Keywords:artificial neural networks(ANNs)  intelligent  adaptive protection  BP algorithm
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