File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation

TitleRadiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation
Authors
KeywordsDistribution system
radiality constraints
reconfiguration
microgrid
resilience
Issue Date2020
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165411
Citation
IEEE Transactions on Smart Grid, 2020, v. 11 n. 5, p. 3944-3956 How to Cite?
AbstractNetwork reconfiguration is an effective strategy for different purposes of distribution systems (DSs), e.g., resilience enhancement. In particular, DS automation, distributed generation integration and microgrid (MG) technology development, etc., are empowering much more flexible reconfiguration and operation of the system, e.g., DSs or MGs with flexible boundaries. However, the formulation of DS reconfiguration-related optimization problems to include those new flexibilities is non-trivial, especially for the issue of topology, which has to be radial. That is, the existing methods of formulating the radiality constraints can cause under-utilization of DS flexibilities. Thus, in this work, we propose a new method for radiality constraints formulation that fully enables the topological and some other related flexibilities of DSs, so that the reconfiguration-related optimization problems can have extended feasibility and enhanced optimality. Graph-theoretic supports are provided to certify its theoretical validity. As integer variables are involved, we also analyze the issues of tightness and compactness. The proposed radiality constraints are specifically applied to post-disturbance MG formation, which is involved in many resilience-oriented DS service restoration and infrastructure recovery problems. The resulting new MG formation model, which allows more flexible merge and/or separation of the sub-grids, etc., establishes superiority over the models in the literature. Demonstrative case studies are conducted on two test systems.
Persistent Identifierhttp://hdl.handle.net/10722/289707
ISSN
2023 Impact Factor: 8.6
2023 SCImago Journal Rankings: 4.863
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLei, S-
dc.contributor.authorChen, C-
dc.contributor.authorSong, Y-
dc.contributor.authorHou, Y-
dc.date.accessioned2020-10-22T08:16:18Z-
dc.date.available2020-10-22T08:16:18Z-
dc.date.issued2020-
dc.identifier.citationIEEE Transactions on Smart Grid, 2020, v. 11 n. 5, p. 3944-3956-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/289707-
dc.description.abstractNetwork reconfiguration is an effective strategy for different purposes of distribution systems (DSs), e.g., resilience enhancement. In particular, DS automation, distributed generation integration and microgrid (MG) technology development, etc., are empowering much more flexible reconfiguration and operation of the system, e.g., DSs or MGs with flexible boundaries. However, the formulation of DS reconfiguration-related optimization problems to include those new flexibilities is non-trivial, especially for the issue of topology, which has to be radial. That is, the existing methods of formulating the radiality constraints can cause under-utilization of DS flexibilities. Thus, in this work, we propose a new method for radiality constraints formulation that fully enables the topological and some other related flexibilities of DSs, so that the reconfiguration-related optimization problems can have extended feasibility and enhanced optimality. Graph-theoretic supports are provided to certify its theoretical validity. As integer variables are involved, we also analyze the issues of tightness and compactness. The proposed radiality constraints are specifically applied to post-disturbance MG formation, which is involved in many resilience-oriented DS service restoration and infrastructure recovery problems. The resulting new MG formation model, which allows more flexible merge and/or separation of the sub-grids, etc., establishes superiority over the models in the literature. Demonstrative case studies are conducted on two test systems.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165411-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.rightsIEEE Transactions on Smart Grid. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectDistribution system-
dc.subjectradiality constraints-
dc.subjectreconfiguration-
dc.subjectmicrogrid-
dc.subjectresilience-
dc.titleRadiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation-
dc.typeArticle-
dc.identifier.emailSong, Y: songyue@hku.hk-
dc.identifier.emailHou, Y: yhhou@hku.hk-
dc.identifier.authoritySong, Y=rp02676-
dc.identifier.authorityHou, Y=rp00069-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TSG.2020.2985087-
dc.identifier.scopuseid_2-s2.0-85090423773-
dc.identifier.hkuros316778-
dc.identifier.volume11-
dc.identifier.issue5-
dc.identifier.spage3944-
dc.identifier.epage3956-
dc.identifier.isiWOS:000562305000025-
dc.publisher.placeUnited States-
dc.identifier.issnl1949-3053-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats