通过局部放电测量监测线路复合绝缘子的状态

Ali Abedini-Livari, Mahdi Eshaghi-Maskouni, M. Vakilian, K. Firuzi
{"title":"通过局部放电测量监测线路复合绝缘子的状态","authors":"Ali Abedini-Livari, Mahdi Eshaghi-Maskouni, M. Vakilian, K. Firuzi","doi":"10.1109/PSC49016.2019.9081447","DOIUrl":null,"url":null,"abstract":"Due to outstanding advantages of polymeric insulators such as: hydrophobicity, impact resistance and lower weight, their application in the high voltage transmission and distribution lines is increased significantly, in recent years. The most important feature of these insulators is their hydrophobicity. Contamination and aging are some of the factors that weaken this important feature and reduce the reliability of these insulators. Due to aging effects partial discharges start on the surface of the composite insulators and increase by impact of external factors. This paper examines the occurrence of partial discharge signals on polymeric insulators under: varying amounts of contamination, impact of physical defects, and accelerated salt-fog aging process. The partial discharge signals of these insulators are detected by UHF antenna and they are recorded. These measured partial discharge signals are used to monitor the insulation status. Their characteristics are determined through feature extraction. Using these “extracted features”, a good distinction is found among these captured signals; which relate to different samples characteristics in terms of: severity of pollution, or different mechanical defects. These features are selected and used for classifying the insulators condition by support vector machine (SVM) algorithm.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Line Composite Insulators Condition Monitoring through Partial Discharge Measurement\",\"authors\":\"Ali Abedini-Livari, Mahdi Eshaghi-Maskouni, M. Vakilian, K. Firuzi\",\"doi\":\"10.1109/PSC49016.2019.9081447\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to outstanding advantages of polymeric insulators such as: hydrophobicity, impact resistance and lower weight, their application in the high voltage transmission and distribution lines is increased significantly, in recent years. The most important feature of these insulators is their hydrophobicity. Contamination and aging are some of the factors that weaken this important feature and reduce the reliability of these insulators. Due to aging effects partial discharges start on the surface of the composite insulators and increase by impact of external factors. This paper examines the occurrence of partial discharge signals on polymeric insulators under: varying amounts of contamination, impact of physical defects, and accelerated salt-fog aging process. The partial discharge signals of these insulators are detected by UHF antenna and they are recorded. These measured partial discharge signals are used to monitor the insulation status. Their characteristics are determined through feature extraction. Using these “extracted features”, a good distinction is found among these captured signals; which relate to different samples characteristics in terms of: severity of pollution, or different mechanical defects. These features are selected and used for classifying the insulators condition by support vector machine (SVM) algorithm.\",\"PeriodicalId\":359817,\"journal\":{\"name\":\"2019 International Power System Conference (PSC)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Power System Conference (PSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PSC49016.2019.9081447\",\"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 International Power System Conference (PSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PSC49016.2019.9081447","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

由于聚合物绝缘子具有疏水、耐冲击、重量轻等突出优点,近年来在高压输配电线路中的应用显著增加。这些绝缘子最重要的特性是它们的疏水性。污染和老化是削弱这一重要特性的一些因素,降低了这些绝缘子的可靠性。由于老化效应,局部放电从复合绝缘子表面开始,并受外界因素的影响而增大。本文研究了不同污染量、物理缺陷影响和加速盐雾老化过程下聚合物绝缘子局部放电信号的发生。用超高频天线对绝缘子局部放电信号进行检测并记录。这些测量的局部放电信号用于监测绝缘状态。通过特征提取确定它们的特征。利用这些“提取的特征”,在这些捕获的信号之间发现了很好的区别;这与不同的样品特性有关:污染的严重程度,或不同的机械缺陷。利用支持向量机(SVM)算法对这些特征进行筛选,对绝缘子状态进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Line Composite Insulators Condition Monitoring through Partial Discharge Measurement
Due to outstanding advantages of polymeric insulators such as: hydrophobicity, impact resistance and lower weight, their application in the high voltage transmission and distribution lines is increased significantly, in recent years. The most important feature of these insulators is their hydrophobicity. Contamination and aging are some of the factors that weaken this important feature and reduce the reliability of these insulators. Due to aging effects partial discharges start on the surface of the composite insulators and increase by impact of external factors. This paper examines the occurrence of partial discharge signals on polymeric insulators under: varying amounts of contamination, impact of physical defects, and accelerated salt-fog aging process. The partial discharge signals of these insulators are detected by UHF antenna and they are recorded. These measured partial discharge signals are used to monitor the insulation status. Their characteristics are determined through feature extraction. Using these “extracted features”, a good distinction is found among these captured signals; which relate to different samples characteristics in terms of: severity of pollution, or different mechanical defects. These features are selected and used for classifying the insulators condition by support vector machine (SVM) algorithm.
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