基于自适应萤火虫的SVC传输损耗最小化算法

R. Selvarasu, M. Kalavathi, C. Rajan
{"title":"基于自适应萤火虫的SVC传输损耗最小化算法","authors":"R. Selvarasu, M. Kalavathi, C. Rajan","doi":"10.1109/ICHCI-IEEE.2013.6887807","DOIUrl":null,"url":null,"abstract":"This paper presents a new strategy for optimally placing Static Var Compensator (SVC) in power systems with a view to minimize the transmission loss. The proposed strategy uses Self Adaptive Firefly Algorithm (SAFA) and identifies the optimal locations for SVC placement and their parameter. The SVC placement strategy is applied on two IEEE test systems and their results are presented to demonstrate its effectiveness.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Self adaptive firefly based transmission loss minimization algorithm for SVC placement\",\"authors\":\"R. Selvarasu, M. Kalavathi, C. Rajan\",\"doi\":\"10.1109/ICHCI-IEEE.2013.6887807\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new strategy for optimally placing Static Var Compensator (SVC) in power systems with a view to minimize the transmission loss. The proposed strategy uses Self Adaptive Firefly Algorithm (SAFA) and identifies the optimal locations for SVC placement and their parameter. The SVC placement strategy is applied on two IEEE test systems and their results are presented to demonstrate its effectiveness.\",\"PeriodicalId\":419263,\"journal\":{\"name\":\"2013 International Conference on Human Computer Interactions (ICHCI)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Human Computer Interactions (ICHCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICHCI-IEEE.2013.6887807\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Human Computer Interactions (ICHCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文提出了一种以最小传输损耗为目标的电力系统静态无功补偿器的优化配置策略。该策略采用自适应萤火虫算法(SAFA),确定SVC的最优放置位置及其参数。将SVC放置策略应用于两个IEEE测试系统,并给出了测试结果,验证了该策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Self adaptive firefly based transmission loss minimization algorithm for SVC placement
This paper presents a new strategy for optimally placing Static Var Compensator (SVC) in power systems with a view to minimize the transmission loss. The proposed strategy uses Self Adaptive Firefly Algorithm (SAFA) and identifies the optimal locations for SVC placement and their parameter. The SVC placement strategy is applied on two IEEE test systems and their results are presented to demonstrate its effectiveness.
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
期刊最新文献
An efficient technique for video content managing in peer-to-peer computing using multilevel cache and bandwidth based cluster A feasibility study for developing an emotional control system through brain computer interface Various levels of human stress & their impact on human computer interaction Partial-retuning of decentralised PI controller of nonlinear multivariable process using firefly algorithm Automation framework for localizability testing of internationalized software
×
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