基于提升小波的输电线路短路故障奇异点检测

周建萍; 郑应平; 王志萍

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上海电力大学学报:2009,25(4):329-331,357

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基于提升小波的输电线路短路故障奇异点检测

周建萍^1,2, 郑应平², 王志萍¹

(1.上海电力学院电力与自动化工程学院, 上海 200090;2.同济大学电子与信息工程学院, 上海 200092)

Singularity Detection of Transmission Line Short-circuited Fault Based on Lifting Wavelet

ZHOU Jian-ping^1,2, ZHENG Ying-ping², WANG Zhi-ping¹

(1.School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.School of Electronics and Information Engineering, Tongji University, Shanghai 200092, China)

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投稿时间：2009-02-20

中文摘要: 输电线路的破坏大多由短路故障引起.通过分析短路故障,采用提升小波对故障后的电流进行检测.仿真结果表明,提升小波能有效地检测输电线路短路故障信号的奇异点.同传统小波变换相比,提升小波变换计算速度更快,计算方法更简单.

中文关键词: 提升小波输电线路短路故障检测

Abstract:The transmission line damage is mostly caused by short-circuited fault. The short-circuited fault is analyzed and then the fault current is detected using lifting wavelet. The simulation results show that lifting wavelet effectively detects the signal singularity of transmission line short-circuited fault. Compared with traditional wavelet transform, lifting wavelet transform calculates fast and easily.

keywords: lifting wavelet transmission line short-circuited fault detection

文章编号：20090406 中图分类号： 文献标志码：

基金项目:上海市教育委员会重点学科建设项目(J51301);国家自然科学基金(60771030)

作者	单位
周建萍	上海电力学院电力与自动化工程学院, 上海 200090 同济大学电子与信息工程学院, 上海 200092
郑应平	同济大学电子与信息工程学院, 上海 200092
王志萍	上海电力学院电力与自动化工程学院, 上海 200090

Author Name	Affiliation
ZHOU Jian-ping	School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China School of Electronics and Information Engineering, Tongji University, Shanghai 200092, China
ZHENG Ying-ping	School of Electronics and Information Engineering, Tongji University, Shanghai 200092, China
WANG Zhi-ping	School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China

引用文本：
周建萍,郑应平,王志萍.基于提升小波的输电线路短路故障奇异点检测[J].上海电力大学学报,2009,25(4):329-331,357.
ZHOU Jian-ping,ZHENG Ying-ping,WANG Zhi-ping.Singularity Detection of Transmission Line Short-circuited Fault Based on Lifting Wavelet[J].Journal of Shanghai University of Electric Power,2009,25(4):329-331,357.