A cyber-physical restoration method of distribution system considering the impact of restoration sequence for cyber system

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal of Electrical Power & Energy Systems Pub Date : 2024-10-09 DOI:10.1016/j.ijepes.2024.110281
Yufan Lu, Nian Liu
{"title":"A cyber-physical restoration method of distribution system considering the impact of restoration sequence for cyber system","authors":"Yufan Lu,&nbsp;Nian Liu","doi":"10.1016/j.ijepes.2024.110281","DOIUrl":null,"url":null,"abstract":"<div><div>Efficient restoration strategies of distributed cyber-physical system (CPS) are critical for enhancing its resilience under extreme disasters. Moreover, with the wide use of intelligent electronic equipment, there is an increasing coupling between CPS during the restoration process. Therefore, a double-layer optimization problem has been applied to represent the restoration of CPS. A vehicle routing problem with time-window (VRPTW) is proposed to formulate the cyber restoration process in the upper layer, where the time-window constraints are used for general restriction of restoration priority. Physical failures are restored through the application of network reconfiguration, distributed energy resources (DERs), and mobile emergency resources (MERs) for different areas in the lower layer. Furthermore, the time-window modification (TWM) method is proposed to coordinate the restoration between two layers. By adjusting the restoration time-windows flexibly in a flexible manner based on the scale of physical failure, the cyber-physical cooperation is effectively realised, and the restoration costs for both systems reduce efficiently within limited computational time. Case studies with modified IEEE 33-node and 118-node systems are conducted to validate the effectiveness of the proposed approach. The reduction of calculation time by applying the TWM method is demonstrated by comparison. Moreover, the restoration costs are reduced by 16.3 % and 20.4 % for small-scale and large-scale failures respectively by applying the proposed method.</div><div>© 2017 Elsevier Inc. All rights reserved.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"162 ","pages":"Article 110281"},"PeriodicalIF":5.0000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142061524005039","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Efficient restoration strategies of distributed cyber-physical system (CPS) are critical for enhancing its resilience under extreme disasters. Moreover, with the wide use of intelligent electronic equipment, there is an increasing coupling between CPS during the restoration process. Therefore, a double-layer optimization problem has been applied to represent the restoration of CPS. A vehicle routing problem with time-window (VRPTW) is proposed to formulate the cyber restoration process in the upper layer, where the time-window constraints are used for general restriction of restoration priority. Physical failures are restored through the application of network reconfiguration, distributed energy resources (DERs), and mobile emergency resources (MERs) for different areas in the lower layer. Furthermore, the time-window modification (TWM) method is proposed to coordinate the restoration between two layers. By adjusting the restoration time-windows flexibly in a flexible manner based on the scale of physical failure, the cyber-physical cooperation is effectively realised, and the restoration costs for both systems reduce efficiently within limited computational time. Case studies with modified IEEE 33-node and 118-node systems are conducted to validate the effectiveness of the proposed approach. The reduction of calculation time by applying the TWM method is demonstrated by comparison. Moreover, the restoration costs are reduced by 16.3 % and 20.4 % for small-scale and large-scale failures respectively by applying the proposed method.
© 2017 Elsevier Inc. All rights reserved.
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
考虑到恢复顺序对网络系统影响的配电系统网络物理恢复方法
分布式网络物理系统(CPS)的高效恢复策略对于提高其在极端灾害下的恢复能力至关重要。此外,随着智能电子设备的广泛应用,在恢复过程中,CPS 之间的耦合度越来越高。因此,双层优化问题被用来表示 CPS 的恢复。在上层提出了带时间窗口的车辆路由问题(VRPTW)来表述网络修复过程,其中时间窗口约束用于对修复优先级的一般限制。在下层,通过应用网络重新配置、分布式能源资源(DER)和针对不同区域的移动应急资源(MER)来恢复物理故障。此外,还提出了时间窗口修改(TWM)方法来协调两层之间的修复工作。通过根据物理故障的规模灵活调整恢复时间窗口,有效实现了网络物理合作,并在有限的计算时间内有效降低了两个系统的恢复成本。通过对修改后的 IEEE 33 节点和 118 节点系统进行案例研究,验证了所提方法的有效性。通过比较,证明了应用 TWM 方法可缩短计算时间。此外,通过应用所提出的方法,小规模和大规模故障的修复成本分别降低了 16.3% 和 20.4%。保留所有权利。
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
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
期刊最新文献
New frequency stability assessment based on contribution rates of wind power plants Reactive power optimization via deep transfer reinforcement learning for efficient adaptation to multiple scenarios A decentralized optimization framework for multi-MGs in distribution network considering parallel architecture Non-unit protection method for boundary-component-free MTDC systems using normalized backward traveling waves A topology-guided high-quality solution learning framework for security-constraint unit commitment based on graph convolutional network
×
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