输电线路故障在线检测

2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET) Pub Date : 2021-12-08 DOI:10.1109/imcet53404.2021.9665620

Ali Reda, Imad Al Kurdi, Ziad Noun, Ali Koubyssi, M. Arnaout, Rabih Rammal

{"title":"输电线路故障在线检测","authors":"Ali Reda, Imad Al Kurdi, Ziad Noun, Ali Koubyssi, M. Arnaout, Rabih Rammal","doi":"10.1109/imcet53404.2021.9665620","DOIUrl":null,"url":null,"abstract":"Power transmission lines are the heart of electric power system. They are exposed to several types of faults affecting the user's services, so it is very important to protect the power system precisely, rapidly and reliably. Fault classification and localization problems can be solved more easily with the introduction of modern machine learning approaches and supervised training methods. In this work, two main models are created and studied in PSCAD software for high voltage and medium voltage networks with three specific distances at several types of faults using multiple run method. The obtained results reveal the high potential and the efficiency of the proposed method in transmission line fault detection.","PeriodicalId":181607,"journal":{"name":"2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Online Detection of Faults in Transmission Lines\",\"authors\":\"Ali Reda, Imad Al Kurdi, Ziad Noun, Ali Koubyssi, M. Arnaout, Rabih Rammal\",\"doi\":\"10.1109/imcet53404.2021.9665620\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power transmission lines are the heart of electric power system. They are exposed to several types of faults affecting the user's services, so it is very important to protect the power system precisely, rapidly and reliably. Fault classification and localization problems can be solved more easily with the introduction of modern machine learning approaches and supervised training methods. In this work, two main models are created and studied in PSCAD software for high voltage and medium voltage networks with three specific distances at several types of faults using multiple run method. The obtained results reveal the high potential and the efficiency of the proposed method in transmission line fault detection.\",\"PeriodicalId\":181607,\"journal\":{\"name\":\"2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/imcet53404.2021.9665620\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/imcet53404.2021.9665620","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

输电线路是电力系统的心脏。它们暴露在多种类型的故障中，影响用户的业务，因此对电力系统的精确、快速、可靠的保护非常重要。随着现代机器学习方法和监督训练方法的引入，故障分类和定位问题可以更容易地解决。本文在PSCAD软件中建立并研究了高压和中压电网在几种类型故障下采用多运行方法的三个特定距离的两个主要模型。实验结果表明，该方法在输电线路故障检测中具有较高的潜力和效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Online Detection of Faults in Transmission Lines

Power transmission lines are the heart of electric power system. They are exposed to several types of faults affecting the user's services, so it is very important to protect the power system precisely, rapidly and reliably. Fault classification and localization problems can be solved more easily with the introduction of modern machine learning approaches and supervised training methods. In this work, two main models are created and studied in PSCAD software for high voltage and medium voltage networks with three specific distances at several types of faults using multiple run method. The obtained results reveal the high potential and the efficiency of the proposed method in transmission line fault detection.

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

2021 IEEE 3rd International Multidisciplinary Conference on Engineering Technology (IMCET)

自引率

0.00%

发文量