基于混合粒子群优化的潮流求解

A. El-Dib, H. Youssef, M. El-Metwally, Z. Osman
{"title":"基于混合粒子群优化的潮流求解","authors":"A. El-Dib, H. Youssef, M. El-Metwally, Z. Osman","doi":"10.1109/ICEEC.2004.1374585","DOIUrl":null,"url":null,"abstract":"Load flow (LF) is an important tool in the planning and operation of power systems. It is usually solved using conventional numerical techniques like Newton-Raphson (NR) or GaussSeidel (GS) methods. This paper presents an application of particle swarm optimization (PSO) in solving the load flow problem as an optimization problem. Examples on test systems are given to demonstrate the validity and applicability of the proposed method.","PeriodicalId":180043,"journal":{"name":"International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"Load flow solution using hybrid particle swarm optimization\",\"authors\":\"A. El-Dib, H. Youssef, M. El-Metwally, Z. Osman\",\"doi\":\"10.1109/ICEEC.2004.1374585\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Load flow (LF) is an important tool in the planning and operation of power systems. It is usually solved using conventional numerical techniques like Newton-Raphson (NR) or GaussSeidel (GS) methods. This paper presents an application of particle swarm optimization (PSO) in solving the load flow problem as an optimization problem. Examples on test systems are given to demonstrate the validity and applicability of the proposed method.\",\"PeriodicalId\":180043,\"journal\":{\"name\":\"International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04.\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEC.2004.1374585\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEC.2004.1374585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 39

摘要

负荷潮流是电力系统规划和运行的重要工具。通常使用牛顿-拉夫森(NR)或高斯塞德尔(GS)方法等传统数值方法求解。本文将粒子群算法作为一种优化问题应用于求解负荷流问题。通过测试系统的实例验证了该方法的有效性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Load flow solution using hybrid particle swarm optimization
Load flow (LF) is an important tool in the planning and operation of power systems. It is usually solved using conventional numerical techniques like Newton-Raphson (NR) or GaussSeidel (GS) methods. This paper presents an application of particle swarm optimization (PSO) in solving the load flow problem as an optimization problem. Examples on test systems are given to demonstrate the validity and applicability of the proposed method.
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