基于动态窗模极大值的暂态扰动自动检测

吉林大学学报(信息科学版) ›› 2016, Vol. 34 ›› Issue (6): 761-766.

基于动态窗模极大值的暂态扰动自动检测

姚建红 1 , 张海鸥 1 , 张守宇 2 , 李梦达 1 , 杨婷 1

1. 东北石油大学电气信息工程学院, 黑龙江大庆 163318;
2. 大庆油田建设集团有限责任公司安装公司, 黑龙江大庆 163000

收稿日期:2016-05-25 出版日期:2016-11-25 发布日期:2017-01-16
作者简介:姚建红(1971— ), 女, 河南柘城人, 东北石油大学教授, 硕士生导师, 主要从事电力电子技术及应用研究, (Tel)86-13946942782(E-mail)yjhljc@163. com。
基金资助:
黑龙江省自然科学基金资助项目(E201410)

Disturbance Automatic Detection Based on Dynamic Window Modulus Maxima Transient

YAO Jianhong 1 , ZHANG Haiou 1 , ZHANG Shouyu 2 , LI Mengda 1 , YANG Ting 1

1. School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318, China;
2. Installation Company, Daqing Oilfield Construction Group Limited Company, Daqing 163000, China

Received:2016-05-25 Online:2016-11-25 Published:2017-01-16

摘要/Abstract

摘要： 针对传统模极大检测算法暂态电能质量扰动持续时间短、随机性以及过零点难以检测等问题, 提出基于动态窗的改进小波模极大值暂态信号扰动检测方法。对过零点时刻的扰动, 在动态窗检测的基础上, 通过系数变换, 改善过零点时刻检测不明显的问题。运用 Matlab 软件进行的计算机仿真结果表明, 该方法能准确地对暂态电能质量扰动进行检测与定位, 精度较高且易于实现。

关键词: 扰动检测, 电能质量, 模极大值, 动态窗

Abstract: Because short duration, randomness and zero point are hard to detect for transient power quality disturbance, a transient signal disturbance detection method based on dynamic window of improved wavelet modulus maxima is presented. For passing zero point disturbance, on the basis of dynamic detection window, through the coefficient of transformation, improve the unconspicuous problem of the passing zero point. Simulation results show that the method can accurately detect and locate the transient power quality disturbances, precision is high and easy to implement.

Key words: disturbance detection, dynamic window, modulus maxima, power quality

中图分类号:

TM92

姚建红,张海鸥,张守宇,李梦达,杨婷 . 基于动态窗模极大值的暂态扰动自动检测[J]. 吉林大学学报(信息科学版), 2016, 34(6): 761-766.

YAO Jianhong,ZHANG Haiou,ZHANG Shouyu,LI Mengda,YANG Ting . Disturbance Automatic Detection Based on Dynamic Window Modulus Maxima Transient[J]. Journal of Jilin University(Information Science Ed, 2016, 34(6): 761-766.