Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/68938
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dc.contributorDepartment of Electronic and Information Engineeringen_US
dc.creatorZhang, Xen_US
dc.creatorTse, CKen_US
dc.date.accessioned2017-10-30T07:54:41Z-
dc.date.available2017-10-30T07:54:41Z-
dc.identifier.issn2156-3357en_US
dc.identifier.urihttp://hdl.handle.net/10397/68938-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2015 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 X. Zhang and C. K. Tse, "Assessment of Robustness of Power Systems From a Network Perspective," in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 5, no. 3, pp. 456-464, Sept. 2015 is available at https://doi.org/10.1109/JETCAS.2015.2462152.en_US
dc.subjectCascading failureen_US
dc.subjectComplex networksen_US
dc.subjectPower systemen_US
dc.subjectRobustnessen_US
dc.titleAssessment of robustness of power systems from a network perspectiveen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage456en_US
dc.identifier.epage464en_US
dc.identifier.volume5en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1109/JETCAS.2015.2462152en_US
dcterms.abstractIn this paper, we study the robustness assessment of power systems from a network perspective. Based on Kirchhoff's laws and the properties of network elements, and combining with a complex network structure, we propose a model that generates power flow information given the electricity consumption and generation information. It has been widely known that large scale blackouts are the result of a series of cascading failures triggered by the malfunctioning of specific critical components. Power systems could be more robust if there were fewer such critical components or the network configuration was suitably designed. The percentage of unserved nodes (PUN) caused by a failed component and the percentage of noncritical links (PNL) that will not cause severe damage are used to provide quantitative indication of a power system's robustness. We assess robustness of the IEEE 118 Bus, Northern European Grid and some synthesized networks. The influence of network structure and location of generators are explored. Simulation results show that the connection with short average shortest path length can significantly reduce a power system's robustness, and that the system with lower generator resistance has better robustness with a given network structure. We also propose a new metric based on node-generator distance (DG) for measuring the accessibility of generators in a power network which is shown to affect robustness significantly.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE journal on emerging and selected topics in circuits and systems, Sept. 2015, v. 5, no. 3, p. 456-464en_US
dcterms.isPartOfIEEE journal on emerging and selected topics in circuits and systemsen_US
dcterms.issued2015-09-
dc.identifier.eissn2156-3365en_US
dc.identifier.rosgroupid2015004221-
dc.description.ros2015-2016 > Academic research: refereed > Publication in refereed journalen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberRGC-B3-1001-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
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