人工神经网络在输电系统故障定位中的重要性综述

Avagaddi Prasad, J. Edward
{"title":"人工神经网络在输电系统故障定位中的重要性综述","authors":"Avagaddi Prasad, J. Edward","doi":"10.1109/ISCO.2017.7856016","DOIUrl":null,"url":null,"abstract":"This paper presents a survey on location of faults in overhead transmission lines using artificial neural networks. The demand for electricity is raising day by day, with proportional to increase of population, we need to generate more power to meet out the demand. It's a challenging task for power engineers to provide good quality of power to the consumers as per their requirement. In electrical power system maximum number of faults occurs in overhead transmission lines. Fault location is one of the major tasks in fault analysis. So the upgradation of old protective relaying systems is necessary due to the unexpected changes in electrical power systems. This survey presents the importance of artificial neural networks for fault location, because it has many advantages compared to other soft computing techniques namely fuzzy logic approach, wavelet technique, support vector machine and other conventional methods.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Importance of artificial neural networks for location of faults in transmission systems: A survey\",\"authors\":\"Avagaddi Prasad, J. Edward\",\"doi\":\"10.1109/ISCO.2017.7856016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a survey on location of faults in overhead transmission lines using artificial neural networks. The demand for electricity is raising day by day, with proportional to increase of population, we need to generate more power to meet out the demand. It's a challenging task for power engineers to provide good quality of power to the consumers as per their requirement. In electrical power system maximum number of faults occurs in overhead transmission lines. Fault location is one of the major tasks in fault analysis. So the upgradation of old protective relaying systems is necessary due to the unexpected changes in electrical power systems. This survey presents the importance of artificial neural networks for fault location, because it has many advantages compared to other soft computing techniques namely fuzzy logic approach, wavelet technique, support vector machine and other conventional methods.\",\"PeriodicalId\":321113,\"journal\":{\"name\":\"2017 11th International Conference on Intelligent Systems and Control (ISCO)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 11th International Conference on Intelligent Systems and Control (ISCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCO.2017.7856016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCO.2017.7856016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

摘要

本文介绍了一种基于人工神经网络的架空输电线路故障定位方法。对电力的需求日益增加,与人口的增长成正比,我们需要生产更多的电力来满足需求。如何根据用户的需求为用户提供高质量的电力是电力工程师面临的一项具有挑战性的任务。在电力系统中,架空输电线路是发生故障最多的线路。故障定位是故障分析的主要任务之一。因此,由于电力系统的突发变化,对旧继电保护系统进行升级改造是必要的。本文介绍了人工神经网络在故障定位中的重要性,因为与其他软计算技术如模糊逻辑方法、小波技术、支持向量机等传统方法相比,人工神经网络具有许多优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Importance of artificial neural networks for location of faults in transmission systems: A survey
This paper presents a survey on location of faults in overhead transmission lines using artificial neural networks. The demand for electricity is raising day by day, with proportional to increase of population, we need to generate more power to meet out the demand. It's a challenging task for power engineers to provide good quality of power to the consumers as per their requirement. In electrical power system maximum number of faults occurs in overhead transmission lines. Fault location is one of the major tasks in fault analysis. So the upgradation of old protective relaying systems is necessary due to the unexpected changes in electrical power systems. This survey presents the importance of artificial neural networks for fault location, because it has many advantages compared to other soft computing techniques namely fuzzy logic approach, wavelet technique, support vector machine and other conventional methods.
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