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dc.contributor.authorBotea, Adi
dc.contributor.authorRintanen, Jussi
dc.contributor.authorBanerjee, Debdeep
dc.date.accessioned2017-12-18T02:00:39Z
dc.date.available2017-12-18T02:00:39Z
dc.date.issued2012
dc.date.modified2013-06-11T00:09:18Z
dc.identifier.issn1949-3053
dc.identifier.doi10.1109/TSG.2012.2184778
dc.identifier.urihttp://hdl.handle.net/10072/48346
dc.description.abstractReconfiguration of radial distribution networks is the basis of supply restoration after faults and of load balancing and loss minimization. The ability to automatically reconfigure the network quickly and efficiently is a key feature of autonomous and self-healing networks, an important part of the future vision of Smart Grids. We address the reconfiguration problem for outage recovery, where the cost of the switching actions dominates the overall cost: when the network reverts to its normal configuration relatively quickly, the electricity loss and the load imbalance in a temporary suboptimal configuration are of minor importance. Finding optimal feeder configurations under most optimality criteria is a difficult optimization problem. All known complete optimal algorithms require an exponential time in the network size in the worst case, and cannot be guaranteed to scale up to arbitrarily large networks. Hence most works on reconfiguration use heuristic approaches that can deliver solutions but cannot guarantee optimality. These approaches include local search, such as tabu search, and evolutionary algorithms. We propose using optimal informed search algorithms in the A* family, introduce admissible heuristics for reconfiguration, and demonstrate empirically the efficiency of our approach. Combining A* with admissible cost lower bounds guarantees that reconfiguration plans are optimal in terms of switching action costs.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEE
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom583
dc.relation.ispartofpageto593
dc.relation.ispartofissue2
dc.relation.ispartofjournalIEEE Transactions on Smart Grid
dc.relation.ispartofvolume3
dc.rights.retentionY
dc.subject.fieldofresearchPower and Energy Systems Engineering (excl. Renewable Power)
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchInterdisciplinary Engineering
dc.subject.fieldofresearchcode090607
dc.subject.fieldofresearchcode0906
dc.subject.fieldofresearchcode0915
dc.titleOptimal reconfiguration for supply restoration with informed A* search
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionPost-print
gro.rights.copyright© 2012 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.
gro.date.issued2012
gro.hasfulltextFull Text
gro.griffith.authorRintanen, Jussi


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