考虑成本的配电网可调度DG规划

S. Kayalvizhi, D. Kumar
{"title":"考虑成本的配电网可调度DG规划","authors":"S. Kayalvizhi, D. Kumar","doi":"10.1109/RDCAPE.2015.7281417","DOIUrl":null,"url":null,"abstract":"This paper presents an optimal planning of dispatchable Distributed Generation (DG) connected to distribution networks. This planning model is proposed in multi-objective framework. Pareto based multi-objective optimization using Harmony Search Algorithm is proposed for optimizing the location and size of DGs and a fuzzy set theory approach has been used to find the best solution from the obtained Pareto solutions. The three objectives considered for minimization by this model are: real power loss, voltage deviation and the total imposed costs (fuel costs, investments cost, operation and maintenance cost and pollution associated expenses since the DG technology considered here is diesel generator). The proposed approach is tested on IEEE-33 bus and IEEE 69-bus distribution systems and the results are validated with well known NSGA-II technique. The comparison has shown that the proposed technique resulted better compared to NSGA-II.","PeriodicalId":403256,"journal":{"name":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Dispatchable DG planning in distribution networks considering costs\",\"authors\":\"S. Kayalvizhi, D. Kumar\",\"doi\":\"10.1109/RDCAPE.2015.7281417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an optimal planning of dispatchable Distributed Generation (DG) connected to distribution networks. This planning model is proposed in multi-objective framework. Pareto based multi-objective optimization using Harmony Search Algorithm is proposed for optimizing the location and size of DGs and a fuzzy set theory approach has been used to find the best solution from the obtained Pareto solutions. The three objectives considered for minimization by this model are: real power loss, voltage deviation and the total imposed costs (fuel costs, investments cost, operation and maintenance cost and pollution associated expenses since the DG technology considered here is diesel generator). The proposed approach is tested on IEEE-33 bus and IEEE 69-bus distribution systems and the results are validated with well known NSGA-II technique. The comparison has shown that the proposed technique resulted better compared to NSGA-II.\",\"PeriodicalId\":403256,\"journal\":{\"name\":\"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)\",\"volume\":\"116 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RDCAPE.2015.7281417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RDCAPE.2015.7281417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

提出了一种可调度分布式发电(DG)接入配电网的优化规划方法。该规划模型是在多目标框架下提出的。提出了一种基于和谐搜索算法的Pareto多目标优化方法,用于优化dg的位置和规模,并利用模糊集理论方法从得到的Pareto解中寻找最优解。该模型考虑最小化的三个目标是:实际功率损失、电压偏差和总成本(燃料成本、投资成本、运行和维护成本以及与污染相关的费用,因为这里考虑的是柴油发电机的DG技术)。该方法在IEEE-33总线和IEEE 69总线配电系统上进行了测试,并使用NSGA-II技术对结果进行了验证。结果表明,与NSGA-II相比,该技术的效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dispatchable DG planning in distribution networks considering costs
This paper presents an optimal planning of dispatchable Distributed Generation (DG) connected to distribution networks. This planning model is proposed in multi-objective framework. Pareto based multi-objective optimization using Harmony Search Algorithm is proposed for optimizing the location and size of DGs and a fuzzy set theory approach has been used to find the best solution from the obtained Pareto solutions. The three objectives considered for minimization by this model are: real power loss, voltage deviation and the total imposed costs (fuel costs, investments cost, operation and maintenance cost and pollution associated expenses since the DG technology considered here is diesel generator). The proposed approach is tested on IEEE-33 bus and IEEE 69-bus distribution systems and the results are validated with well known NSGA-II technique. The comparison has shown that the proposed technique resulted better compared to NSGA-II.
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