BCO based technique for line outage identification in congestion management

M. Rahim, I. Musirin, Z. Hamid, N. A. M. Kamari
{"title":"BCO based technique for line outage identification in congestion management","authors":"M. Rahim, I. Musirin, Z. Hamid, N. A. M. Kamari","doi":"10.1109/PEOCO.2012.6230896","DOIUrl":null,"url":null,"abstract":"In a modern urbanization metropolitan country, energy especially electrical energy is considered as an inevitable necessity because of their need have been seen apparently increase every year. Since then, the congestion in the power system had brought serious problems for the utility in particular. If the problems are not handled with care, a grisly catastrophic event is waiting, thus an appropriate method is recommended in order to explore a new approach to solve congestion issue. In this paper, congestion management with the bee colony optimisation (BCO) technique in solving the congestion problems in power system is presented. The BCO has been used in IEEE 30-Bus Reliability Test System (RTS) Bus and IEEE 26-RTS Bus to validate its capability. However for the verification purposes, other optimization such as Evolutionary Programming (EP) and Particle Swarm Optimisation Technique (PSO) are also be used.","PeriodicalId":138236,"journal":{"name":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEOCO.2012.6230896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In a modern urbanization metropolitan country, energy especially electrical energy is considered as an inevitable necessity because of their need have been seen apparently increase every year. Since then, the congestion in the power system had brought serious problems for the utility in particular. If the problems are not handled with care, a grisly catastrophic event is waiting, thus an appropriate method is recommended in order to explore a new approach to solve congestion issue. In this paper, congestion management with the bee colony optimisation (BCO) technique in solving the congestion problems in power system is presented. The BCO has been used in IEEE 30-Bus Reliability Test System (RTS) Bus and IEEE 26-RTS Bus to validate its capability. However for the verification purposes, other optimization such as Evolutionary Programming (EP) and Particle Swarm Optimisation Technique (PSO) are also be used.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
拥塞管理中基于BCO的线路中断识别技术
在一个现代化的城市化都市国家,能源特别是电能被认为是不可避免的必需品,因为它们的需求每年都在明显地增加。从那时起,电力系统的拥堵给电力公司带来了严重的问题。如果不小心处理这些问题,将会发生可怕的灾难性事件,因此建议采用适当的方法来探索解决拥塞问题的新途径。本文提出了用蜂群优化技术解决电力系统拥塞问题的拥塞管理方法。BCO已在IEEE 30总线可靠性测试系统(RTS)总线和IEEE 26-RTS总线上进行了验证。然而,为了验证目的,其他优化如进化规划(EP)和粒子群优化技术(PSO)也被使用。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Impact of a 200 MW concentrated receiver solar power plant on steady-state and transient performances of Oman transmission system Evaluation of the effectiveness of voltage stability indices on different loadings Unit commitment in electrical power system-a literature review Power optimization for a small-sized stall-regulated variable-speed wind turbine Novel reduced parts one-line uninterruptible power supply
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1