Genetic Algorithm approach for Optimal Power Flow with FACTS devices

R. Banu, D. Devaraj
{"title":"Genetic Algorithm approach for Optimal Power Flow with FACTS devices","authors":"R. Banu, D. Devaraj","doi":"10.1109/IS.2008.4670477","DOIUrl":null,"url":null,"abstract":"This paper presents a genetic algorithm (GA) based approach for solving the optimal power flow with FACTS devices to eliminate line over loads in the system following single line outages. The proposed approach introduces an index called the single contingency sensitivity (SCS) index to rank the system branches according to their suitability for installing thyristor controlled series capacitors(TCSCs). Once the locations are determined, the problem of identifying the optimal TCSC parameters is formulated as an optimization problem and a GA based approach is applied to solve the optimal power flow (OPF) problem. IEEE 30 bus system is considered to demonstrate the suitability of this algorithm. Case studies on IEEE test system show the effectiveness of this algorithm.","PeriodicalId":305750,"journal":{"name":"2008 4th International IEEE Conference Intelligent Systems","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 4th International IEEE Conference Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IS.2008.4670477","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22

Abstract

This paper presents a genetic algorithm (GA) based approach for solving the optimal power flow with FACTS devices to eliminate line over loads in the system following single line outages. The proposed approach introduces an index called the single contingency sensitivity (SCS) index to rank the system branches according to their suitability for installing thyristor controlled series capacitors(TCSCs). Once the locations are determined, the problem of identifying the optimal TCSC parameters is formulated as an optimization problem and a GA based approach is applied to solve the optimal power flow (OPF) problem. IEEE 30 bus system is considered to demonstrate the suitability of this algorithm. Case studies on IEEE test system show the effectiveness of this algorithm.
具有FACTS器件的最优潮流遗传算法
本文提出了一种基于遗传算法的方法,利用FACTS装置求解系统中最优潮流,以消除单线停电后的线路过载。该方法引入了一种称为单应急灵敏度(SCS)指数的指标,根据系统分支是否适合安装晶闸管控制串联电容器(TCSCs)来对系统分支进行排序。一旦位置确定,将TCSC最优参数的辨识问题转化为优化问题,并应用基于遗传算法的方法求解最优潮流问题。以IEEE 30总线系统为例,验证了该算法的适用性。通过对IEEE测试系统的实例分析,验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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