An Improved Method to Evaluate the Severity of Discharges with DGA Based on Thermodynamics

Rui Guo, Jian Wang, Ren Liu, A. Ping, Ruofan Xiao, Jingrui Wang
{"title":"An Improved Method to Evaluate the Severity of Discharges with DGA Based on Thermodynamics","authors":"Rui Guo, Jian Wang, Ren Liu, A. Ping, Ruofan Xiao, Jingrui Wang","doi":"10.1109/ICEMPE51623.2021.9509005","DOIUrl":null,"url":null,"abstract":"Transformer is the core equipment of power system and the key to safe and reliable operation. It is very important to diagnose transformer discharge fault timely and effectively. Due to its remarkable advantages, DGA (Dissolved gas analysis) plays a decisive role in fault diagnosis of transformer. However, the severity of discharge fault can't be assessed effectively by the traditional DGA method. Therefore, an improved method named ETDCG (energy-weighted total dissolved combustible gases) is proposed based on the thermodynamics theory in this paper. Firstly, the energy-weighted factors were introduced to characterize the energy difference of typical gases and the ETDCG can be calculated based on this enthalpy changes. Then, an experimental platform for transformer discharges was built. Finally, the experiments of different discharge models and different discharge stages were carried out and the correlation between the discharge energy and ETDCG is verified.","PeriodicalId":7083,"journal":{"name":"2021 International Conference on Electrical Materials and Power Equipment (ICEMPE)","volume":"15 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Electrical Materials and Power Equipment (ICEMPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMPE51623.2021.9509005","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 is the core equipment of power system and the key to safe and reliable operation. It is very important to diagnose transformer discharge fault timely and effectively. Due to its remarkable advantages, DGA (Dissolved gas analysis) plays a decisive role in fault diagnosis of transformer. However, the severity of discharge fault can't be assessed effectively by the traditional DGA method. Therefore, an improved method named ETDCG (energy-weighted total dissolved combustible gases) is proposed based on the thermodynamics theory in this paper. Firstly, the energy-weighted factors were introduced to characterize the energy difference of typical gases and the ETDCG can be calculated based on this enthalpy changes. Then, an experimental platform for transformer discharges was built. Finally, the experiments of different discharge models and different discharge stages were carried out and the correlation between the discharge energy and ETDCG is verified.
一种改进的基于热力学的DGA放电严重程度评估方法
变压器是电力系统的核心设备,是电力系统安全可靠运行的关键。及时有效地诊断变压器放电故障具有十分重要的意义。溶解气体分析(DGA)由于其显著的优点,在变压器故障诊断中起着决定性的作用。然而,传统的DGA方法不能有效地评估放电故障的严重程度。因此,本文提出了一种基于热力学理论的改进方法ETDCG(能量加权总溶解可燃气体)。首先,引入能量加权因子来表征典型气体的能量差,并以此焓变计算ETDCG;在此基础上,搭建了变压器放电实验平台。最后,进行了不同放电模式和不同放电阶段的实验,验证了放电能量与ETDCG的相关性。
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