Online Monitoring Device for Partial Discharge in High-Voltage Switchgear Based on Capacitance Coupling Method

Xu Yu, W. Jianjun, Liu Weihao, Jiang Yijun, Xu Ting, Zhang Jinbo
{"title":"Online Monitoring Device for Partial Discharge in High-Voltage Switchgear Based on Capacitance Coupling Method","authors":"Xu Yu, W. Jianjun, Liu Weihao, Jiang Yijun, Xu Ting, Zhang Jinbo","doi":"10.1109/ICGEA.2019.8880768","DOIUrl":null,"url":null,"abstract":"There are many problems in traditional manual inspection, such as poor real-time performance, complex operation and large environmental impact on monitoring results when using ultrasonic and ultra high frequency (UHF) inspection methods. In order to realize online monitoring of partial discharge (PD) in high-voltage switchgears, a live display capacitance sensor equipped with high-voltage switchgear is proposed to acquire discharge pulse and monitor the discharge information of switchgear in real time. With the technology of FPGA, the sampling frequency of 50MHz is used to collect one million data points in 10 milliseconds and a half cycle. Hanning window function data processing technology and fast Fourier transform (FFT) technology are used to obtain the high frequency discharge spectrum of the internal ports and insulators of high-voltage switchgear cabinet, thus realizing the online monitoring of PD, and greatly reducing the cost of the monitoring circuit. It is convenient for popularization and application, and meets the online monitoring requirements of PD through practical tests.","PeriodicalId":170713,"journal":{"name":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 3rd International Conference on Green Energy and Applications (ICGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGEA.2019.8880768","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

There are many problems in traditional manual inspection, such as poor real-time performance, complex operation and large environmental impact on monitoring results when using ultrasonic and ultra high frequency (UHF) inspection methods. In order to realize online monitoring of partial discharge (PD) in high-voltage switchgears, a live display capacitance sensor equipped with high-voltage switchgear is proposed to acquire discharge pulse and monitor the discharge information of switchgear in real time. With the technology of FPGA, the sampling frequency of 50MHz is used to collect one million data points in 10 milliseconds and a half cycle. Hanning window function data processing technology and fast Fourier transform (FFT) technology are used to obtain the high frequency discharge spectrum of the internal ports and insulators of high-voltage switchgear cabinet, thus realizing the online monitoring of PD, and greatly reducing the cost of the monitoring circuit. It is convenient for popularization and application, and meets the online monitoring requirements of PD through practical tests.
基于电容耦合法的高压开关柜局部放电在线监测装置
传统的人工检测在使用超声波和超高频(UHF)检测方法时,存在实时性差、操作复杂、环境对监测结果影响大等问题。为了实现高压开关柜局部放电(PD)的在线监测,提出了一种安装在高压开关柜上的实时显示电容传感器,用于获取放电脉冲,实时监测开关柜的放电信息。利用FPGA技术,采用50MHz的采样频率,在10毫秒半的周期内采集100万个数据点。采用汉宁窗函数数据处理技术和快速傅里叶变换(FFT)技术获得高压开关柜内部端口和绝缘子的高频放电频谱,从而实现对PD的在线监测,大大降低了监测电路的成本。便于推广应用,经过实际测试,满足了PD的在线监测要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信