Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/68781
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorGanganath, N-
dc.creatorCheng, CT-
dc.creatorIu, HHC-
dc.creatorFernando, T-
dc.date.accessioned2017-10-04T04:18:48Z-
dc.date.available2017-10-04T04:18:48Z-
dc.identifier.isbn978-1-4673-6853-7 (electronic)en_US
dc.identifier.isbn978-1-5090-1427-9 (Print on Demand(PoD))en_US
dc.identifier.urihttp://hdl.handle.net/10397/68781-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2017 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
dc.rightsThe following publication N. Ganganath, C. T. Cheng, H. H. C. Iu and T. Fernando, "Subsystem size optimization for efficient parallel restoration of power systems," 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, USA, 2017, pp. 1-4 is available at http://dx.doi.org/10.1109/ISCAS.2017.8050925en_US
dc.subjectNetwork partitioningen_US
dc.subjectBlackouten_US
dc.subjectParallel poweren_US
dc.subjectSystem restorationen_US
dc.subjectAgglomerative clusteringen_US
dc.subjectConstrained optimizationen_US
dc.titleSubsystem size optimization for efficient parallel restoration of power systemsen_US
dc.typeConference Paperen_US
dc.identifier.spage1en_US
dc.identifier.epage4en_US
dc.identifier.doi10.1109/ISCAS.2017.8050925en_US
dcterms.abstractIt is essential to rapidly restore a power system after a blackout to minimize the economic losses and negative social impact. The most common approach of accelerating the restoration process is by restoring the complete network as several subsystems in parallel. Even though a parallel restoration process has obvious advantages over its sequential alternatives, sizes of the subsystems play key roles in controlling the overall restoration time. Existing network partitioning strategies for parallel restoration do not put control on the individual subsystem size. In this paper, we proposed a partitioning strategy that helps to accelerate the restoration process by minimizing the subsystem size differences. Case study results given in this paper illustrate the effectiveness of the proposed partitioning strategy in parallel restoration of the power systems.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2017 IEEE International Symposium on Circuits and Systems (ISCAS’2017), Baltimore, MD, USA, 28-31 May 2017, p. 1-4-
dcterms.issued2017-
dc.identifier.ros2016005627-
dc.relation.conferenceIEEE International Symposium on Circuits and Systems [ISCAS]en_US
dc.identifier.rosgroupid2016005376-
dc.description.ros2016-2017 > Academic research: refereed > Refereed conference paper-
dc.description.validate201803_a bcwh-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0123-n03, a0124-n04en_US
dc.description.pubStatusPublisheden_US
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