基于提升小波的电压暂态奇异点检测

周建萍; 郑应平

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上海电力大学学报:2010,26(6):564-566,576

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基于提升小波的电压暂态奇异点检测

周建萍¹, 郑应平²

(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 Voltage Transient Based on Lifting Wavelet

ZHOU Jian-ping¹, ZHENG Ying-ping²

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

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投稿时间：2010-07-05

中文摘要: 电压暂态扰动是影响电能质量的重要因素之一,对电力系统和用电设备均产生危害.提升小波可以在时域、频域表征信号的局部特征,具有发现突变信号、处理非平稳时变信号的能力.分别采用提升小波和傅里叶变换检测脉冲暂态和振荡暂态电压扰动的奇异点.仿真结果表明,与傅里叶变换相比,提升小波能有效检测暂态电压扰动的奇异点.

中文关键词: 提升小波电压暂态奇异点检测

Abstract:Transient voltage disturbance is one of the most important factors which influence power quality in power system, and do harm to the power system and power equipment.Lifting wavelet is a useful method to analyze the abrupt signal because lifting wavelet can simultaneously show the local characteristic of time domain signal and frequency domain signal.Lifting wavelet and Fourier transform are used respectively to detect these two transient voltage disturbances such as impulse transient and oscillation transient.The simulation results show that lifting wavelet can accurately and effectively detect the singularities of transient voltage disturbances, but Fourier transform fails to detect these singularities.

keywords: lifting wavelet voltage transient singularity detection

文章编号：20100612 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(J51303)

作者	单位	E-mail
周建萍	上海电力学院电力与自动化工程学院, 上海 200090	jpzhou820@yahoo.com.cn.
郑应平	同济大学电子与信息工程学院, 上海 200092

Author Name	Affiliation	E-mail
ZHOU Jian-ping	School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China	jpzhou820@yahoo.com.cn.
ZHENG Ying-ping	School of Electronics and Information, Tongji University, Shanghai 200092, China

引用文本：
周建萍,郑应平.基于提升小波的电压暂态奇异点检测[J].上海电力大学学报,2010,26(6):564-566,576.
ZHOU Jian-ping,ZHENG Ying-ping.Singularity Detection of Voltage Transient Based on Lifting Wavelet[J].Journal of Shanghai University of Electric Power,2010,26(6):564-566,576.