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Optimal AC distribution systems reconfiguration

dc.contributor.authorHijazi, Hassan
dc.contributor.authorThiebaux, Sylvie
dc.coverage.spatialWroclaw, Poland
dc.date.accessioned2015-12-10T23:18:41Z
dc.date.createdAugust 18-22 2014
dc.date.issued2014
dc.date.updated2015-12-10T10:08:20Z
dc.description.abstractConvex power flow relaxations have become popular to alleviate difficulties with embedding the non-convex AC power flow equations into optimisation models, and to provide guarantees on the quality of feasible solutions generated by heuristic approaches. However, their use has almost universally been limited to purely continuous problems. This paper extends the reach of relaxations to reconfiguration problems with binary decision variables, such as minimal power loss, load balancing and power supply restoration. This is achieved by extending the relaxations of AC power flows to bear on the on/off nature of constraints featured in reconfiguration problems. This leads to an approach producing AC feasible solutions with provable optimality gaps, and to global optimal solutions in some cases. In terms of run time, the new models are competitive with state-of-the-art approximations which lack formal guarantees.
dc.identifier.isbn9788393580132
dc.identifier.urihttp://hdl.handle.net/1885/65731
dc.publisherIEEE
dc.relation.ispartofseries2014 Power Systems Computation Conference, PSCC 2014
dc.sourceProceedings - 2014 Power Systems Computation Conference, PSCC 2014
dc.titleOptimal AC distribution systems reconfiguration
dc.typeConference paper
local.bibliographicCitation.lastpage7
local.bibliographicCitation.startpage1
local.contributor.affiliationHijazi, Hassan, College of Engineering and Computer Science, ANU
local.contributor.affiliationThiebaux, Sylvie, College of Engineering and Computer Science, ANU
local.contributor.authoruidHijazi, Hassan, u5313337
local.contributor.authoruidThiebaux, Sylvie, u4033066
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010206 - Operations Research
local.identifier.absfor090607 - Power and Energy Systems Engineering (excl. Renewable Power)
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationa383154xPUB1151
local.identifier.doi10.1109/PSCC.2014.7038420
local.identifier.scopusID2-s2.0-84924362676
local.type.statusPublished Version

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