Comparisons of Energy Loss Reduction by Phase Balancing in Unbalance Distribution Networks via Metaheuristic Algorithms

W. Lin, Wei-Tzer Huang, Hsin-Ching Chih, Kai-chao Yao, Zongpu Li, Chun-Chiang Ma
{"title":"Comparisons of Energy Loss Reduction by Phase Balancing in Unbalance Distribution Networks via Metaheuristic Algorithms","authors":"W. Lin, Wei-Tzer Huang, Hsin-Ching Chih, Kai-chao Yao, Zongpu Li, Chun-Chiang Ma","doi":"10.1109/ICPAI51961.2020.00049","DOIUrl":null,"url":null,"abstract":"Three-phase balancing can improve the operation efficiency of distribution networks. The common approach is phase arrangement of each tapped-off point in unbalanced distribution networks. This complex problem requires searching for an optimal combination. Metaheuristic algorithms can efficiently solve this complicated problem. In this study, 10 common metaheuristic algorithms are applied in the IEEE 37- bus test system for optimal phase arrangement, and the performance of each of them is compared and discussed. The outcomes of this work are helpful for realizing energy loss reduction by phase balancing, which applies metaheuristic algorithms in unbalanced distribution networks.","PeriodicalId":330198,"journal":{"name":"2020 International Conference on Pervasive Artificial Intelligence (ICPAI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Pervasive Artificial Intelligence (ICPAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPAI51961.2020.00049","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

Three-phase balancing can improve the operation efficiency of distribution networks. The common approach is phase arrangement of each tapped-off point in unbalanced distribution networks. This complex problem requires searching for an optimal combination. Metaheuristic algorithms can efficiently solve this complicated problem. In this study, 10 common metaheuristic algorithms are applied in the IEEE 37- bus test system for optimal phase arrangement, and the performance of each of them is compared and discussed. The outcomes of this work are helpful for realizing energy loss reduction by phase balancing, which applies metaheuristic algorithms in unbalanced distribution networks.
基于元启发式算法的不平衡配电网相位平衡降能比较
三相平衡可以提高配电网的运行效率。常用的方法是在不平衡配电网中对各断开点进行相位安排。这个复杂的问题需要寻找最优组合。元启发式算法可以有效地解决这一复杂问题。本文将10种常用的元启发式算法应用于ieee37总线测试系统中,并对各算法的性能进行了比较和讨论。本文的研究结果有助于在不平衡配电网中应用元启发式算法实现相位平衡降能。
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