Reducing cluster size for computing remedial adjustments for voltage and loading violations on the power system

S. Lin, Garng M. Huang, John Zoborszky
{"title":"Reducing cluster size for computing remedial adjustments for voltage and loading violations on the power system","authors":"S. Lin, Garng M. Huang, John Zoborszky","doi":"10.1109/CDC.1984.272419","DOIUrl":null,"url":null,"abstract":"A technique was earlier proposed by the authors [1], [2] for solving sectional outbreaks of voltage and overload violations on large electric power transmission systems by finding relatively small size clusters of controls and violated as well as nonviolated network elements to which they react sensitively. Since the clusters are as much as two orders of magnitude smaller than the entire system, immense savings of computation are possible. Unfortunately the size of the clusters can not be well regulated a priori so that there is a possibility for oversize clusters. This paper introduces an effective algorithm for splitting up such undesirably large clusters by inactivating a few well chosen controls. It was necessary to develop some new results in graph theory to develop the new algorithm.","PeriodicalId":269680,"journal":{"name":"The 23rd IEEE Conference on Decision and Control","volume":"317 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1984-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 23rd IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1984.272419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

A technique was earlier proposed by the authors [1], [2] for solving sectional outbreaks of voltage and overload violations on large electric power transmission systems by finding relatively small size clusters of controls and violated as well as nonviolated network elements to which they react sensitively. Since the clusters are as much as two orders of magnitude smaller than the entire system, immense savings of computation are possible. Unfortunately the size of the clusters can not be well regulated a priori so that there is a possibility for oversize clusters. This paper introduces an effective algorithm for splitting up such undesirably large clusters by inactivating a few well chosen controls. It was necessary to develop some new results in graph theory to develop the new algorithm.
减少簇大小以计算电力系统电压和负载违规的补救调整
作者早先提出了一种技术[1],[2],通过寻找相对较小的控制簇和违规以及未违规的网络元素,来解决大型电力传输系统中电压和过载违规的局部爆发。由于集群比整个系统小两个数量级,因此可以节省大量的计算。不幸的是,集群的大小不能很好地预先调节,因此有可能出现超大集群。本文介绍了一种有效的算法,通过停用一些精心选择的控件来拆分这种不受欢迎的大集群。为了开发新的算法,需要在图论中提出一些新的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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