Dynamic Partitioning Modeling Based on Adjustable Capability of Electric Vehicles

Qingguang Yu, Xiaoyu Li, Yong Li, Yu Lei, Mingmei Zhang, Weihua Luo, Rui Ou, Qiang Lan, Yuqing Zhou, M. Guo, Le Li, Leidong Yuan
{"title":"Dynamic Partitioning Modeling Based on Adjustable Capability of Electric Vehicles","authors":"Qingguang Yu, Xiaoyu Li, Yong Li, Yu Lei, Mingmei Zhang, Weihua Luo, Rui Ou, Qiang Lan, Yuqing Zhou, M. Guo, Le Li, Leidong Yuan","doi":"10.1109/CPEEE56777.2023.10217613","DOIUrl":null,"url":null,"abstract":"In this paper, we develop a power system dynamic partitioning model that includes electric vehicles and takes into account a significant amount of electric vehicle load access by integrating the following dynamic partitioning techniques: The Jacobi matrix is first calculated using the tide, followed by the augmentation method to obtain the sensitivity matrix with all node coupling information and the electrical distance matrix, the cluster to obtain the preliminary partitioning, the power reserve verification and correction to obtain the When the power changes, the partitioning result is modified to alter the partitioning immediately. The computation was also confirmed by the IEEE 14 node system, which can be shown to play a part in controlling power distribution, enhancing grid tide, and being able to respond to different scenarios. The model and computation method have certain drawbacks, though, so it still could not be perfect.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPEEE56777.2023.10217613","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, we develop a power system dynamic partitioning model that includes electric vehicles and takes into account a significant amount of electric vehicle load access by integrating the following dynamic partitioning techniques: The Jacobi matrix is first calculated using the tide, followed by the augmentation method to obtain the sensitivity matrix with all node coupling information and the electrical distance matrix, the cluster to obtain the preliminary partitioning, the power reserve verification and correction to obtain the When the power changes, the partitioning result is modified to alter the partitioning immediately. The computation was also confirmed by the IEEE 14 node system, which can be shown to play a part in controlling power distribution, enhancing grid tide, and being able to respond to different scenarios. The model and computation method have certain drawbacks, though, so it still could not be perfect.
基于电动汽车可调性能的动态划分建模
在本文中,我们通过整合以下动态划分技术,开发了一个包括电动汽车在内的电力系统动态划分模型,并考虑了大量的电动汽车负载接入:首先利用潮流计算雅可比矩阵,然后用增广法得到包含所有节点耦合信息的灵敏度矩阵和电距离矩阵,得到簇的初步划分,对功率储备进行验证和修正,得到当功率发生变化时,对划分结果进行修改,立即改变划分。计算结果也得到了IEEE 14节点系统的验证,能够起到控制配电、增强电网潮流、应对不同场景的作用。然而,该模型和计算方法存在一定的缺陷,因此尚不完善。
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 求助全文
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