基于多目标协调搜索算法的配电系统中分布式发电机组的最优布局与优化选型

Yuan Liu, Yun-hua Li, Ke-yan Liu, W. Sheng
{"title":"基于多目标协调搜索算法的配电系统中分布式发电机组的最优布局与优化选型","authors":"Yuan Liu, Yun-hua Li, Ke-yan Liu, W. Sheng","doi":"10.1109/RAM.2013.6758578","DOIUrl":null,"url":null,"abstract":"This study deals with the optimal placement and sizing issue in distribution power system with distributed generation (DG). This issue is a sophisticated multi-objective optimization problem with constraints of investment and power system operation demands. In this paper, minimum power loss, minimum voltage deviation and maximal voltage stability margin are taken into account for the optimization of DG planning. To solve the comprehensive multi-objective optimization problem, a meta-heuristic searching algorithm harmony search (HS) is improved with the fast non-dominated sorting approach, which forms the novel intelligent optimization algorithm called multi-objective harmony search (MOHS). Simulation on IEEE 33-bus test system and comparisons with some other multi-objective evolutionary algorithms yield promising results for optimal placement and sizing of DG based on MOHS.","PeriodicalId":287085,"journal":{"name":"2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Optimal placement and sizing of distributed generation in distribution power system based on multi-objective harmony search algorithm\",\"authors\":\"Yuan Liu, Yun-hua Li, Ke-yan Liu, W. Sheng\",\"doi\":\"10.1109/RAM.2013.6758578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study deals with the optimal placement and sizing issue in distribution power system with distributed generation (DG). This issue is a sophisticated multi-objective optimization problem with constraints of investment and power system operation demands. In this paper, minimum power loss, minimum voltage deviation and maximal voltage stability margin are taken into account for the optimization of DG planning. To solve the comprehensive multi-objective optimization problem, a meta-heuristic searching algorithm harmony search (HS) is improved with the fast non-dominated sorting approach, which forms the novel intelligent optimization algorithm called multi-objective harmony search (MOHS). Simulation on IEEE 33-bus test system and comparisons with some other multi-objective evolutionary algorithms yield promising results for optimal placement and sizing of DG based on MOHS.\",\"PeriodicalId\":287085,\"journal\":{\"name\":\"2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM)\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAM.2013.6758578\",\"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 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAM.2013.6758578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

本文研究了分布式发电配电系统的最优布局和最优规模问题。该问题是一个复杂的多目标优化问题,具有投资约束和电力系统运行需求约束。本文以最小的功率损耗、最小的电压偏差和最大的电压稳定裕度作为优化DG规划的考虑因素。为了解决综合多目标优化问题,将一种元启发式搜索算法和声搜索(HS)与快速非支配排序法进行改进,形成了一种新型的多目标和声搜索(MOHS)智能优化算法。在IEEE 33总线测试系统上进行了仿真,并与其他多目标进化算法进行了比较,结果表明基于MOHS的DG优化布局和尺寸具有良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal placement and sizing of distributed generation in distribution power system based on multi-objective harmony search algorithm
This study deals with the optimal placement and sizing issue in distribution power system with distributed generation (DG). This issue is a sophisticated multi-objective optimization problem with constraints of investment and power system operation demands. In this paper, minimum power loss, minimum voltage deviation and maximal voltage stability margin are taken into account for the optimization of DG planning. To solve the comprehensive multi-objective optimization problem, a meta-heuristic searching algorithm harmony search (HS) is improved with the fast non-dominated sorting approach, which forms the novel intelligent optimization algorithm called multi-objective harmony search (MOHS). Simulation on IEEE 33-bus test system and comparisons with some other multi-objective evolutionary algorithms yield promising results for optimal placement and sizing of DG based on MOHS.
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:604180095
Book学术官方微信