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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.issn1949-3053en_US
dc.identifier.doi10.1109/TSG.2012.2184778en_US
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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherIEEEen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom583en_US
dc.relation.ispartofpageto593en_US
dc.relation.ispartofissue2en_US
dc.relation.ispartofjournalIEEE Transactions on Smart Griden_US
dc.relation.ispartofvolume3en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchPower and Energy Systems Engineering (excl. Renewable Power)en_US
dc.subject.fieldofresearchcode090607en_US
dc.titleOptimal reconfiguration for supply restoration with informed A* searchen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
dc.description.versionPost-printen_US
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.en_US
gro.date.issued2012
gro.hasfulltextFull Text
gro.griffith.authorRintanen, Jussi


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