Integration of electrical data and transformer gas analysis for full asset monitoring

Terrence Smith, Christopher White
{"title":"Integration of electrical data and transformer gas analysis for full asset monitoring","authors":"Terrence Smith, Christopher White","doi":"10.1109/CPRE.2018.8349802","DOIUrl":null,"url":null,"abstract":"Transformer differential is one of the most often mis-operated protection systems within the power system. When the differential operates, it is often difficult to determine cause because a fault may be buried deep within the transformer. Dissolved Gas Analysis(DGA) can help the trouble-shooter make statements about thermal faults and arcs and faults and help to identify the presence of a legitimate transformer fault. DGA can also help the transformer asset management team make long term statements about the health of the transformer over-time. An on-line DGA system can be added to the transformed to give reliable continuous data about the health of the transformer. Additionally, the on-line DGA can help to trouble-shoot after a transformer fault by giving dissolved gas analysis of the transformer oil. This paper examines a novel technique which uses the electrical fault data from a transformer and the DGA data and incorporates them into a single report to facilitate faster decision making after a transformer fault.","PeriodicalId":285875,"journal":{"name":"2018 71st Annual Conference for Protective Relay Engineers (CPRE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 71st Annual Conference for Protective Relay Engineers (CPRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPRE.2018.8349802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Transformer differential is one of the most often mis-operated protection systems within the power system. When the differential operates, it is often difficult to determine cause because a fault may be buried deep within the transformer. Dissolved Gas Analysis(DGA) can help the trouble-shooter make statements about thermal faults and arcs and faults and help to identify the presence of a legitimate transformer fault. DGA can also help the transformer asset management team make long term statements about the health of the transformer over-time. An on-line DGA system can be added to the transformed to give reliable continuous data about the health of the transformer. Additionally, the on-line DGA can help to trouble-shoot after a transformer fault by giving dissolved gas analysis of the transformer oil. This paper examines a novel technique which uses the electrical fault data from a transformer and the DGA data and incorporates them into a single report to facilitate faster decision making after a transformer fault.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
集成电气数据和变压器气体分析,实现全资产监控
变压器差动是电力系统中最常发生误动的保护系统之一。当差速器运行时,由于故障可能深埋在变压器内部,通常很难确定故障的原因。溶解气体分析(DGA)可以帮助故障排除人员对热故障、电弧和故障做出判断,并帮助确定是否存在合理的变压器故障。DGA还可以帮助变压器资产管理团队对变压器的长期健康状况做出长期声明。在转换后的变压器中加入在线DGA系统,可以提供可靠的连续的变压器健康数据。此外,在线DGA通过对变压器油的溶解气体进行分析,可以帮助变压器故障后的故障排除。本文研究了一种利用变压器电气故障数据和DGA数据合并成一个报告的新技术,以便在变压器故障后更快地做出决策。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Correlating protective relay reports for system-wide, post-event analysis Back to the basics — Event analysis using symmetrical components Cyber security — Securing the protection and control relay communication in substation Communications assisted islanding detection: Contrasting direct transfer trip and phase comparison methods Applying intelligent fast load shed using IEC 61850 GOOSE
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1