An Approach to Distribution Systems Dynamic Service Restoration Utilizing Load Curves

Shao-ren Wang, Jinqiu Li, A. Yazdani
{"title":"An Approach to Distribution Systems Dynamic Service Restoration Utilizing Load Curves","authors":"Shao-ren Wang, Jinqiu Li, A. Yazdani","doi":"10.1109/EPEC.2018.8598352","DOIUrl":null,"url":null,"abstract":"In this paper a new methodology for dynamic service restoration (DSR) of distribution grids is proposed and tested. The approach utilizes the dynamic load curves of the case study grid. The Time variable load profile is applied to design an effective service restoration plan. This new method proposes an optimization algorithm to find candidate networks for reducing frequency and duration of customer interruptions. During the service restoration period the network configuration is altered in each hour to minimize frequency and duration of outages. Service restoration plan with global dynamic characteristics is one of the major contributions of the study. A constrained multi-objective mathematical model is forming the DSR methodology. The approach is tested on a 70-node distribution system. Comparing the simulation results to the existing literature show a great deal of advancement in providing a fast, secure and reliable service restoration plan in distribution feeders.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Electrical Power and Energy Conference (EPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2018.8598352","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

In this paper a new methodology for dynamic service restoration (DSR) of distribution grids is proposed and tested. The approach utilizes the dynamic load curves of the case study grid. The Time variable load profile is applied to design an effective service restoration plan. This new method proposes an optimization algorithm to find candidate networks for reducing frequency and duration of customer interruptions. During the service restoration period the network configuration is altered in each hour to minimize frequency and duration of outages. Service restoration plan with global dynamic characteristics is one of the major contributions of the study. A constrained multi-objective mathematical model is forming the DSR methodology. The approach is tested on a 70-node distribution system. Comparing the simulation results to the existing literature show a great deal of advancement in providing a fast, secure and reliable service restoration plan in distribution feeders.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于负荷曲线的配电系统动态服务恢复方法
本文提出了一种配电网动态服务恢复(DSR)的新方法并进行了试验。该方法利用了实例电网的动态负荷曲线。应用时变负荷模型设计有效的业务恢复方案。该方法提出了一种寻找候选网络的优化算法,以减少客户中断的频率和持续时间。在业务恢复期间,每小时更改一次网络配置,以尽量减少中断的频率和持续时间。具有全局动态特征的服务恢复计划是本研究的重要贡献之一。一个有约束的多目标数学模型正在形成DSR方法。该方法在一个70节点的配电系统上进行了测试。将仿真结果与已有文献进行比较,表明在提供快速、安全、可靠的配电馈线服务恢复方案方面有很大的进步。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Power Mismatch Elimination Strategy for an MMC-based PV System in Unbalanced Grids Implementation and Testing of a Hybrid Protection Scheme for Active Distribution Network Evaluation of Parametric Statistical Models for Wind Speed Probability Density Estimation Modeling of Ferroresonance Phenomena in MV Networks Emulating Subsynchronous Resonance using Hardware and Software Implementation
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1