Multi-objective Optimization Planning of Distribution Network Topology Considering Total Supply Capability and Voltage Deviation

Bin Sun, X. Fang, X. Song, Jialei Zhou, Sitian Zhou, Hongkun Chen, T. Ding
{"title":"Multi-objective Optimization Planning of Distribution Network Topology Considering Total Supply Capability and Voltage Deviation","authors":"Bin Sun, X. Fang, X. Song, Jialei Zhou, Sitian Zhou, Hongkun Chen, T. Ding","doi":"10.1109/ACPEE51499.2021.9437029","DOIUrl":null,"url":null,"abstract":"The imbalance between the power supply capacity of distribution networks and the demand for load growth has become increasingly prominent. Moreover, the uneven load distribution and the unreasonable grid structure have caused serious voltage issues at the end of lines. In view of these problems, this paper proposes a multi-objective optimization planning method for distribution network topology. A total supply capability (TSC) model based on the power flow calculation is first constructed. Then, with the maximum TSC of distribution networks and the minimum voltage deviation as the objective function, a multi-objective optimization planning model is established. Subsequently, the NSGA-II algorithm is introduced to solve the model. Finally, the effectiveness of the proposed method is verified through the analysis of the IEEE-33 node power distribution system. The result shows that the proposed method can not only effectively improve the TSC of distribution networks, but also improve the voltage quality and strengthen the reliability of distribution networks.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACPEE51499.2021.9437029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The imbalance between the power supply capacity of distribution networks and the demand for load growth has become increasingly prominent. Moreover, the uneven load distribution and the unreasonable grid structure have caused serious voltage issues at the end of lines. In view of these problems, this paper proposes a multi-objective optimization planning method for distribution network topology. A total supply capability (TSC) model based on the power flow calculation is first constructed. Then, with the maximum TSC of distribution networks and the minimum voltage deviation as the objective function, a multi-objective optimization planning model is established. Subsequently, the NSGA-II algorithm is introduced to solve the model. Finally, the effectiveness of the proposed method is verified through the analysis of the IEEE-33 node power distribution system. The result shows that the proposed method can not only effectively improve the TSC of distribution networks, but also improve the voltage quality and strengthen the reliability of distribution networks.
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
考虑总供电能力和电压偏差的配电网拓扑多目标优化规划
配电网供电能力与负荷增长需求之间的不平衡问题日益突出。此外,负荷分布不均和电网结构不合理也造成了严重的线路末端电压问题。针对这些问题,本文提出了一种配电网拓扑结构的多目标优化规划方法。首先建立了基于潮流计算的总供电能力模型。然后,以配电网TSC最大和电压偏差最小为目标函数,建立了多目标优化规划模型。随后,引入NSGA-II算法对模型进行求解。最后,通过对IEEE-33节点配电系统的分析,验证了所提方法的有效性。结果表明,该方法不仅能有效提高配电网的TSC,还能改善配电网的电压质量,增强配电网的可靠性。
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
Transient Stability Emergency Control Based on Real-time Power Angle Trajectory Fitting Topology Identification Method for Primary Distribution Network with Limited Smart Meter Data The Steady State Limits Application of 18-pulse Rectifier in Aircraft Radar Power Supply System Yardstick motivation evaluation method for investment of distribution network A Power and Load Optimization Scheduling Model based on Flexible Thermal Load Participating in Assisted Peak Regulation
×
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