面向智能电网可靠运行的电力电缆绝缘诊断试验

S. Morsalin, A. Sahoo, B. Phung
{"title":"面向智能电网可靠运行的电力电缆绝缘诊断试验","authors":"S. Morsalin, A. Sahoo, B. Phung","doi":"10.1109/EIC43217.2019.9046619","DOIUrl":null,"url":null,"abstract":"Polymeric insulation, especially cross-linked polyethylene (XLPE) insulated power cables are widely used in practice to transport electrical energy. XLPE has excellent dielectric properties, but its degradation due to various factors while in service is unlikely to avoid. Moreover, electrical, mechanical or thermal stresses accelerate the ageing process and shorten the lifespan. In the era of smart grid, its safe and reliable operation is vital. Hence, condition monitoring of insulation through diagnostic testing has become critically important to the smart maintenance of electrical infrastructure. In this paper, the diagnostic behaviors of XLPE insulation are explained by using two popular diagnostic methods, partial discharge (PD) and dielectric response (DR) measurements. For PD diagnosis, a comparative study of surface discharge and their characteristics under conventional power frequency (50 Hz) and very low frequency (0.1 Hz) excitation are presented. Dielectric responses are investigated in the frequency domain by $\\mathrm{tan}\\delta$ measurement and in the time domain by pol/depolarization current measurement. It is shown that useful information for insulation diagnosis can be extracted from the measurement results.","PeriodicalId":340602,"journal":{"name":"2019 IEEE Electrical Insulation Conference (EIC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Diagnostic Testing of Power Cable Insulation For Reliable Smart Grid Operation\",\"authors\":\"S. Morsalin, A. Sahoo, B. Phung\",\"doi\":\"10.1109/EIC43217.2019.9046619\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Polymeric insulation, especially cross-linked polyethylene (XLPE) insulated power cables are widely used in practice to transport electrical energy. XLPE has excellent dielectric properties, but its degradation due to various factors while in service is unlikely to avoid. Moreover, electrical, mechanical or thermal stresses accelerate the ageing process and shorten the lifespan. In the era of smart grid, its safe and reliable operation is vital. Hence, condition monitoring of insulation through diagnostic testing has become critically important to the smart maintenance of electrical infrastructure. In this paper, the diagnostic behaviors of XLPE insulation are explained by using two popular diagnostic methods, partial discharge (PD) and dielectric response (DR) measurements. For PD diagnosis, a comparative study of surface discharge and their characteristics under conventional power frequency (50 Hz) and very low frequency (0.1 Hz) excitation are presented. Dielectric responses are investigated in the frequency domain by $\\\\mathrm{tan}\\\\delta$ measurement and in the time domain by pol/depolarization current measurement. It is shown that useful information for insulation diagnosis can be extracted from the measurement results.\",\"PeriodicalId\":340602,\"journal\":{\"name\":\"2019 IEEE Electrical Insulation Conference (EIC)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Electrical Insulation Conference (EIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIC43217.2019.9046619\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Electrical Insulation Conference (EIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIC43217.2019.9046619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

聚合物绝缘,特别是交联聚乙烯(XLPE)绝缘电力电缆在实际中广泛用于传输电能。XLPE具有优良的介电性能,但在使用过程中由于各种因素的影响,其性能的下降是不可避免的。此外,电、机械或热应力加速了老化过程,缩短了寿命。在智能电网时代,其安全可靠运行至关重要。因此,通过诊断测试对绝缘进行状态监测对于电力基础设施的智能维护至关重要。本文用两种常用的诊断方法——局部放电(PD)和介电响应(DR)测量来解释XLPE绝缘的诊断行为。在常规工频(50 Hz)和极低频(0.1 Hz)激励下,对表面放电及其特性进行了比较研究。在频域采用$\ mathm {tan}\delta$测量,在时域采用pol/去极化电流测量。结果表明,从测量结果中可以提取出有用的绝缘诊断信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic Testing of Power Cable Insulation For Reliable Smart Grid Operation
Polymeric insulation, especially cross-linked polyethylene (XLPE) insulated power cables are widely used in practice to transport electrical energy. XLPE has excellent dielectric properties, but its degradation due to various factors while in service is unlikely to avoid. Moreover, electrical, mechanical or thermal stresses accelerate the ageing process and shorten the lifespan. In the era of smart grid, its safe and reliable operation is vital. Hence, condition monitoring of insulation through diagnostic testing has become critically important to the smart maintenance of electrical infrastructure. In this paper, the diagnostic behaviors of XLPE insulation are explained by using two popular diagnostic methods, partial discharge (PD) and dielectric response (DR) measurements. For PD diagnosis, a comparative study of surface discharge and their characteristics under conventional power frequency (50 Hz) and very low frequency (0.1 Hz) excitation are presented. Dielectric responses are investigated in the frequency domain by $\mathrm{tan}\delta$ measurement and in the time domain by pol/depolarization current measurement. It is shown that useful information for insulation diagnosis can be extracted from the measurement results.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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