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基于小波包变换的模糊神经网络小电流接地系统故障选线
引用本文:张兆宁,郁惟镛,孙阳盛. 基于小波包变换的模糊神经网络小电流接地系统故障选线[J]. 上海交通大学学报, 2002, 36(7): 1012-1015,1020
作者姓名:张兆宁  郁惟镛  孙阳盛
作者单位:1. 上海交通大学,电气工程与自动化系,上海,200030;中国民航学院,空中交通管理学院,天津,300300
2. 上海交通大学,电气工程与自动化系,上海,200030
基金项目:中华电力基金会许继奖教金 ( 2 0 0 0年度 )
摘    要:根据小波包变换和模糊神经网络的特点,提出了基于小波包变换模糊神经网络的一种小电流接地系统单相接地故障选线方法,即利用经过接地后零序电流训练的小波模糊神经网络来判别接地线路。该方法适用于任何小电流接地系统,并且不受负荷谐波、暂态过程、故障点过渡电阻等因素的影响,从理论上解决了传统方法选线准确率低的问题。EMTP仿真计算结果表明,该方法是准确和可靠的,具有实用潜力。

关 键 词:小波包变换 小电流接地系统 模糊神经网络 故障选线 电力系统 继电保护
文章编号:1006-2467(2002)07-1012-04

Discrimination of Fault Line Based on Wavelet Packet and Fuzzy Neural Networks in Distribution Systems
ZHANG Zhao-ning ,,YU Wei-yong ,SUN Yang-sheng. Discrimination of Fault Line Based on Wavelet Packet and Fuzzy Neural Networks in Distribution Systems[J]. Journal of Shanghai Jiaotong University, 2002, 36(7): 1012-1015,1020
Authors:ZHANG Zhao-ning     YU Wei-yong   SUN Yang-sheng
Affiliation:ZHANG Zhao-ning 1,2,YU Wei-yong 1,SUN Yang-sheng 1
Abstract:According to the characteristic of wavelet packet transformation and fuzzy neural network, this paper proposed a new method of discriminating fault line for single-phase ground in distribution system based on the wavelet packet transformation and fuzzy neural network. The wavelet packet fuzzy neural network trained by the post fault zero sequence current is used to discriminate the fault line. This method is suitable for any distribution system, not influenced by load harmonic, transient process and transient resistance of the fault point. This mothod in theory solves the problem of the traditional methods that select fault line incorrectly. The EMTP simulation shows that the proposed method is accurate and reliable, and has great application potential.
Keywords:wavelet packet  fuzzy neural network  fault line selection  distribution system
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