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计算机系统应用英文版:2013,22(9):223-226,222

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一种低压电弧故障检测的新方法

段培永^1,2, 周夫^1,2, 段晨旭^1,2, 石嘉川^1,2

(1.山东建筑大学信息与电气工程学院, 济南 250101;2.山东省智能建筑技术重点实验室, 济南 250101)

A Novel Detection Method for Low Voltage Arcing Fault

DUAN Pei-Yong^1,2, ZHOU Fu^1,2, DUAN Chen-Xu^1,2, SHI Jia-Chuan^1,2

(1.School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China;2.Shandong Key Laboratory of Intelligent Building Technology, Jinan 250101, China)

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本文已被：浏览 1569次下载 3576次
Received:March 08, 2013 Revised:April 12, 2013

中文摘要: 利用二进小波变换法分解低压配电线路电弧故障时的电流波形, 获得电流波形各尺度小波变换的高频系数. 电弧故障时的电流波形小波变换高频系数与负载正常启动和运行状态时相比, 有其明显的特征, 可有效地应用于电弧故障检测. 利用LabVIEW和MATLAB软件平台实现了电流在线采集和分析, 实验结果表明该方法能准确地辨识低压配电线路中的电弧故障.

中文关键词: 故障电弧小波变换 LabVIEW MATLAB AFCI

Abstract:Current of arcing fault in the low-voltage distribution lines is decomposed by dyadic wavelet transform in this paper, and each scale high-frequency coefficients of wavelet transform of the current waveform are gotten. Compared with the load normal starting and running state, the high-frequency coefficients have obvious characteristic when the arcing fault occurs. Effectively, the characteristic can be applied to the arcing fault detector. Based on the method, current is collected online and analysed by LabVIEW and MATLAB software platform. The result of experiment shows that the method can accurately identify the arc fault on low-voltage distribution lines.

keywords: arc fault wavelet transform LabVIEW MATLAB AFCI

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基金项目:山东省自然科学基金(ZR2009G004)

引用文本：
段培永,周夫,段晨旭,石嘉川.一种低压电弧故障检测的新方法.计算机系统应用,2013,22(9):223-226,222
DUAN Pei-Yong,ZHOU Fu,DUAN Chen-Xu,SHI Jia-Chuan.A Novel Detection Method for Low Voltage Arcing Fault.COMPUTER SYSTEMS APPLICATIONS,2013,22(9):223-226,222

Author Name	Affiliation
DUAN Pei-Yong	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China Shandong Key Laboratory of Intelligent Building Technology, Jinan 250101, China
ZHOU Fu	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China Shandong Key Laboratory of Intelligent Building Technology, Jinan 250101, China
DUAN Chen-Xu	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China Shandong Key Laboratory of Intelligent Building Technology, Jinan 250101, China
SHI Jia-Chuan	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China Shandong Key Laboratory of Intelligent Building Technology, Jinan 250101, China

Author Name	Affiliation
DUAN Pei-Yong	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China Shandong Key Laboratory of Intelligent Building Technology, Jinan 250101, China
ZHOU Fu	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China Shandong Key Laboratory of Intelligent Building Technology, Jinan 250101, China
DUAN Chen-Xu	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China Shandong Key Laboratory of Intelligent Building Technology, Jinan 250101, China
SHI Jia-Chuan	School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China Shandong Key Laboratory of Intelligent Building Technology, Jinan 250101, China