基于群辅助正序电流分量的输电线路定向继电保护

C. Prasad, M. Biswal, P. K. Nayak
{"title":"基于群辅助正序电流分量的输电线路定向继电保护","authors":"C. Prasad, M. Biswal, P. K. Nayak","doi":"10.1109/PIICON49524.2020.9112960","DOIUrl":null,"url":null,"abstract":"In this paper, swarm assisted positive sequence current based directional relaying is proposed for detection and direction estimation of faults in power transmission network. For this classification, two different thresholds are identified through particle swarm optimization (PSO) algorithm. The available methods used to adopt trial-and-error based threshold setting approaches for detection and classification of fault direction and have limitation for certain fault and non-fault events. On the other hand, the proposed swarm intelligence assisted optimal threshold setting obtained from a set of randomly generated solutions using PSO ensures reliable estimation of fault direction even for extreme fault and non-fault events. This is evident from the extensive case studies generated on a 2-bus test power system using MATLAB-SIMULINK.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Swarm Assisted Positive Sequence Current Component based Directional Relaying for Transmission Line Protection\",\"authors\":\"C. Prasad, M. Biswal, P. K. Nayak\",\"doi\":\"10.1109/PIICON49524.2020.9112960\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, swarm assisted positive sequence current based directional relaying is proposed for detection and direction estimation of faults in power transmission network. For this classification, two different thresholds are identified through particle swarm optimization (PSO) algorithm. The available methods used to adopt trial-and-error based threshold setting approaches for detection and classification of fault direction and have limitation for certain fault and non-fault events. On the other hand, the proposed swarm intelligence assisted optimal threshold setting obtained from a set of randomly generated solutions using PSO ensures reliable estimation of fault direction even for extreme fault and non-fault events. This is evident from the extensive case studies generated on a 2-bus test power system using MATLAB-SIMULINK.\",\"PeriodicalId\":422853,\"journal\":{\"name\":\"2020 IEEE 9th Power India International Conference (PIICON)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 9th Power India International Conference (PIICON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIICON49524.2020.9112960\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 9th Power India International Conference (PIICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIICON49524.2020.9112960","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文提出了一种基于群辅助正序电流的定向继电方法,用于输电网故障的检测和方向估计。针对该分类,采用粒子群优化(PSO)算法识别两个不同的阈值。现有方法采用基于试错法的阈值设置方法对故障方向进行检测和分类,对某些故障和非故障事件有一定的限制。另一方面,该算法利用粒子群算法从随机生成的一组解中获得最优阈值,保证了极端故障和非故障事件的故障方向估计的可靠性。这从使用MATLAB-SIMULINK在双总线测试电源系统上生成的广泛案例研究中可以看出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Swarm Assisted Positive Sequence Current Component based Directional Relaying for Transmission Line Protection
In this paper, swarm assisted positive sequence current based directional relaying is proposed for detection and direction estimation of faults in power transmission network. For this classification, two different thresholds are identified through particle swarm optimization (PSO) algorithm. The available methods used to adopt trial-and-error based threshold setting approaches for detection and classification of fault direction and have limitation for certain fault and non-fault events. On the other hand, the proposed swarm intelligence assisted optimal threshold setting obtained from a set of randomly generated solutions using PSO ensures reliable estimation of fault direction even for extreme fault and non-fault events. This is evident from the extensive case studies generated on a 2-bus test power system using MATLAB-SIMULINK.
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