利用遗传算法优化径向配电系统中可重构配电系统的DG布局和电容器布局

A. Saonerkar, B. Bagde
{"title":"利用遗传算法优化径向配电系统中可重构配电系统的DG布局和电容器布局","authors":"A. Saonerkar, B. Bagde","doi":"10.1109/ICACCCT.2014.7019263","DOIUrl":null,"url":null,"abstract":"This paper presents minimization of total power loss, improvement in bus voltage profile and branch currents using network reconfiguration, capacitor banks and optimum number of distributed generation (DG) units placement in radial distribution system (RDS). Genetic algorithm (GA) is used to determine highly non-linear problem of calculating total power loss of RDS which are subjected to operational equality and inequality constraints. The effectiveness of this method is illustrated by comparing the results with Harmony search algorithm (HSA) and GA from the literature. The solution to the objective of minimization of loss is obtained using MATLAB optimization toolbox and MATLAB programming environment on standard IEEE 33-bus test system with different case studies.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"1 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":"{\"title\":\"Optimized DG placement in radial distribution system with reconfiguration and capacitor placement using genetic algorithm\",\"authors\":\"A. Saonerkar, B. Bagde\",\"doi\":\"10.1109/ICACCCT.2014.7019263\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents minimization of total power loss, improvement in bus voltage profile and branch currents using network reconfiguration, capacitor banks and optimum number of distributed generation (DG) units placement in radial distribution system (RDS). Genetic algorithm (GA) is used to determine highly non-linear problem of calculating total power loss of RDS which are subjected to operational equality and inequality constraints. The effectiveness of this method is illustrated by comparing the results with Harmony search algorithm (HSA) and GA from the literature. The solution to the objective of minimization of loss is obtained using MATLAB optimization toolbox and MATLAB programming environment on standard IEEE 33-bus test system with different case studies.\",\"PeriodicalId\":239918,\"journal\":{\"name\":\"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies\",\"volume\":\"1 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"33\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACCCT.2014.7019263\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCCT.2014.7019263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

摘要

本文介绍了利用网络重构、电容器组和径向配电系统(RDS)中分布式发电(DG)单元放置的最佳数量来最小化总功率损耗、改善母线电压分布和支路电流。采用遗传算法求解受运算等式和不等式约束的RDS总功率损耗的高度非线性问题。通过与文献中的和谐搜索算法(HSA)和遗传算法进行比较,说明了该方法的有效性。利用MATLAB优化工具箱和MATLAB编程环境,在标准的IEEE 33总线测试系统上,通过不同的案例分析,得到了以损耗最小为目标的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized DG placement in radial distribution system with reconfiguration and capacitor placement using genetic algorithm
This paper presents minimization of total power loss, improvement in bus voltage profile and branch currents using network reconfiguration, capacitor banks and optimum number of distributed generation (DG) units placement in radial distribution system (RDS). Genetic algorithm (GA) is used to determine highly non-linear problem of calculating total power loss of RDS which are subjected to operational equality and inequality constraints. The effectiveness of this method is illustrated by comparing the results with Harmony search algorithm (HSA) and GA from the literature. The solution to the objective of minimization of loss is obtained using MATLAB optimization toolbox and MATLAB programming environment on standard IEEE 33-bus test system with different case studies.
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:481959085
Book学术官方微信