基于小波奇异性检测的电力系统故障检测

J4 ›› 2009, Vol. 27 ›› Issue (02): 156-.

基于小波奇异性检测的电力系统故障检测

吕永震

北华大学教务处,吉林吉林 132013

出版日期:2009-03-20 发布日期:2009-07-06
通讯作者: 吕永震(1964— )，男,吉林农安人，北华大学副教授，主要从事应用数学研究 E-mail:luyongzhen@163.com
作者简介:吕永震(1964— )|男,吉林农安人| 北华大学副教授|主要从事应用数学研究|（Tel）86-13604460735（E-mail）luyongzhen@163.com

Power System Faults Detection Based on Singularity  Detection of Wavelet

L Yong-zhen

Office of Academic Affairs,Beihua University,Jilin 132013,China

Online:2009-03-20 Published:2009-07-06

摘要/Abstract

摘要：

为了解决大容量发电机组和超高压输电系统的相继投入运行使电力系统输电距离增大、负荷加重、故障暂态过程中的暂态分量增加、持续时间变长等问题，在分析电力系统故障特性的基础上，将小波信号奇异性检测理论运用于电力系统故障检测中，给出一种新颖的故障检测算法。在原故障检测判据基础上，提出新的补充判据。仿真研究表明，该算法可快速、准确、有效地检测故障，其检测时间可达0.4 ms。

关键词: 小波分析, 电力系统故障, 奇异性检测

Abstract:

More generators and EHV(Extra High Voltage) transmission systems are put into operation in power systems which leads to many new situations, such as the lengthening transmission distance,the heavier load,the increasing transient elements during the transient process.Based on the analysis of power system faults, the singularity detection theory based on wavelet analysis is applied to the power system faults detection, and a new fault detection is given. The simulation proves that it is a quick,correct and effective fault detection method, and its detection time less 0.4 ms.

Key words: wavelet analysis, power system faults, singularity detection

中图分类号:

TM711

吕永震. 基于小波奇异性检测的电力系统故障检测[J]. J4, 2009, 27(02): 156-.

L Yong-zhen. Power System Faults Detection Based on Singularity  Detection of Wavelet[J]. J4, 2009, 27(02): 156-.