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Article: Remote-Controlled Switch Allocation Enabling Prompt Restoration of Distribution Systems

TitleRemote-Controlled Switch Allocation Enabling Prompt Restoration of Distribution Systems
Authors
Issue Date2018
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59
Citation
IEEE Transactions on Power Systems, 2018, v. 33, p. 3129-3142 How to Cite?
AbstractRemote-controlled switches (RCSs) play an important role in prompt service restoration of distribution systems (DSs). However, the cost of RCSs and the vast footprint of DSs limit widespread utilization of RCSs. In this paper, we present a new approach to RCS allocation for improving the performance of restoration and optimizing reliability benefits with reasonable RCS cost. Specifically, the optimal number and locations of to-be-upgraded switches can be determined with different objectives: maximizing the reduction of customer interruption cost; maximizing the reduction of system average interruption duration index; or maximizing the amount of loads that can be restored using the upgraded RCSs. We show that these models can actually be formulated as mixed-integer convex programming problems. We further introduce a novel method to equivalently transform and efficiently solve each of them. The global optimum can thus be computed within a reasonable amount of time. The IEEE 33-node and 123-node test systems are used to demonstrate the proposed models and algorithms.
Persistent Identifierhttp://hdl.handle.net/10722/258582
ISSN
2015 Impact Factor: 3.342
2015 SCImago Journal Rankings: 4.126

 

DC FieldValueLanguage
dc.contributor.authorLei, S-
dc.contributor.authorWang, J-
dc.contributor.authorHou, Y-
dc.date.accessioned2018-08-22T01:40:50Z-
dc.date.available2018-08-22T01:40:50Z-
dc.date.issued2018-
dc.identifier.citationIEEE Transactions on Power Systems, 2018, v. 33, p. 3129-3142-
dc.identifier.issn0885-8950-
dc.identifier.urihttp://hdl.handle.net/10722/258582-
dc.description.abstractRemote-controlled switches (RCSs) play an important role in prompt service restoration of distribution systems (DSs). However, the cost of RCSs and the vast footprint of DSs limit widespread utilization of RCSs. In this paper, we present a new approach to RCS allocation for improving the performance of restoration and optimizing reliability benefits with reasonable RCS cost. Specifically, the optimal number and locations of to-be-upgraded switches can be determined with different objectives: maximizing the reduction of customer interruption cost; maximizing the reduction of system average interruption duration index; or maximizing the amount of loads that can be restored using the upgraded RCSs. We show that these models can actually be formulated as mixed-integer convex programming problems. We further introduce a novel method to equivalently transform and efficiently solve each of them. The global optimum can thus be computed within a reasonable amount of time. The IEEE 33-node and 123-node test systems are used to demonstrate the proposed models and algorithms.-
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=59-
dc.relation.ispartofIEEE Transactions on Power Systems-
dc.rightsIEEE Transactions on Power Systems. 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.titleRemote-Controlled Switch Allocation Enabling Prompt Restoration of Distribution Systems-
dc.typeArticle-
dc.identifier.emailLei, S: leishunbo@eee.hku.hk-
dc.identifier.emailHou, Y: yhhou@hku.hk-
dc.identifier.authorityHou, Y=rp00069-
dc.identifier.doi10.1109/TPWRS.2017.2765720-
dc.identifier.hkuros286771-
dc.identifier.volume33-
dc.identifier.spage3129-
dc.identifier.epage3142-
dc.publisher.placeUnited States-

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