基于粒子群优化算法的过流继电器优化协调

Pankaj Kumar Choudhary, Dushmanta Kumar Das
{"title":"基于粒子群优化算法的过流继电器优化协调","authors":"Pankaj Kumar Choudhary, Dushmanta Kumar Das","doi":"10.1109/ASPCON49795.2020.9276703","DOIUrl":null,"url":null,"abstract":"In the distribution network of power system, for protection of electrical systems the coordination of over-current (OC) relays is most essential for primary as well as secondary relay protection. In fault condition, it is required to minimize the total operating time of relay. Therefor, it can reduce the damage occurs in the system. It is also ensure that relay does not operate during normal condition. In OC relay coordination problem, the main objective is optimizing the sum of total operating time of functioning relays. In the current paper, coordination of constraint type OC relays in a radial fed distribution system is developed as an optimization problem using Particle Swarm Optimization(P SO) algorithm. This system shows that the plug settings and time dial setting (T DS), are an important aspect for operating time of relays. The obtain results from the PSO algorithm are compared with other existing optimization algorithms and it shows that the current technique gives minimal relay operating time with optimized TDS. From the result analysis, the obtained results by using PSO is efficient, simple and precise.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimal Coordination of Over-current Relay Using Particle Swarm Optimization (PSO) Algorithm\",\"authors\":\"Pankaj Kumar Choudhary, Dushmanta Kumar Das\",\"doi\":\"10.1109/ASPCON49795.2020.9276703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the distribution network of power system, for protection of electrical systems the coordination of over-current (OC) relays is most essential for primary as well as secondary relay protection. In fault condition, it is required to minimize the total operating time of relay. Therefor, it can reduce the damage occurs in the system. It is also ensure that relay does not operate during normal condition. In OC relay coordination problem, the main objective is optimizing the sum of total operating time of functioning relays. In the current paper, coordination of constraint type OC relays in a radial fed distribution system is developed as an optimization problem using Particle Swarm Optimization(P SO) algorithm. This system shows that the plug settings and time dial setting (T DS), are an important aspect for operating time of relays. The obtain results from the PSO algorithm are compared with other existing optimization algorithms and it shows that the current technique gives minimal relay operating time with optimized TDS. From the result analysis, the obtained results by using PSO is efficient, simple and precise.\",\"PeriodicalId\":193814,\"journal\":{\"name\":\"2020 IEEE Applied Signal Processing Conference (ASPCON)\",\"volume\":\"146 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Applied Signal Processing Conference (ASPCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPCON49795.2020.9276703\",\"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 Applied Signal Processing Conference (ASPCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPCON49795.2020.9276703","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

在电力系统配电网中,过流继电器的协调对电气系统的保护至关重要,无论是一次继电保护还是二次继电保护。在故障状态下,要求使继电器的总动作时间最小。因此,它可以减少系统中发生的损坏。也要确保继电器在正常情况下不运行。在OC继电器协调问题中,主要目标是优化各功能继电器的总运行时间之和。本文利用粒子群优化算法将径向馈电系统中约束型OC继电器的协调问题发展为一个优化问题。该系统表明,插头设置和时间刻度设置(tds)是继电器工作时间的重要方面。将PSO算法的结果与现有的其他优化算法进行了比较,结果表明,该算法在优化TDS的情况下,继电器运行时间最短。结果分析表明,采用粒子群算法得到的结果高效、简单、精确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Coordination of Over-current Relay Using Particle Swarm Optimization (PSO) Algorithm
In the distribution network of power system, for protection of electrical systems the coordination of over-current (OC) relays is most essential for primary as well as secondary relay protection. In fault condition, it is required to minimize the total operating time of relay. Therefor, it can reduce the damage occurs in the system. It is also ensure that relay does not operate during normal condition. In OC relay coordination problem, the main objective is optimizing the sum of total operating time of functioning relays. In the current paper, coordination of constraint type OC relays in a radial fed distribution system is developed as an optimization problem using Particle Swarm Optimization(P SO) algorithm. This system shows that the plug settings and time dial setting (T DS), are an important aspect for operating time of relays. The obtain results from the PSO algorithm are compared with other existing optimization algorithms and it shows that the current technique gives minimal relay operating time with optimized TDS. From the result analysis, the obtained results by using PSO is efficient, simple and precise.
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:604180095
Book学术官方微信