Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/68938
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | en_US |
dc.creator | Zhang, X | en_US |
dc.creator | Tse, CK | en_US |
dc.date.accessioned | 2017-10-30T07:54:41Z | - |
dc.date.available | 2017-10-30T07:54:41Z | - |
dc.identifier.issn | 2156-3357 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/68938 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_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.rights | The 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.subject | Cascading failure | en_US |
dc.subject | Complex networks | en_US |
dc.subject | Power system | en_US |
dc.subject | Robustness | en_US |
dc.title | Assessment of robustness of power systems from a network perspective | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 456 | en_US |
dc.identifier.epage | 464 | en_US |
dc.identifier.volume | 5 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.doi | 10.1109/JETCAS.2015.2462152 | en_US |
dcterms.abstract | In 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.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE journal on emerging and selected topics in circuits and systems, Sept. 2015, v. 5, no. 3, p. 456-464 | en_US |
dcterms.isPartOf | IEEE journal on emerging and selected topics in circuits and systems | en_US |
dcterms.issued | 2015-09 | - |
dc.identifier.eissn | 2156-3365 | en_US |
dc.identifier.rosgroupid | 2015004221 | - |
dc.description.ros | 2015-2016 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | RGC-B3-1001 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Assessment_Robustness_Power.pdf | Pre-Published version | 2.15 MB | Adobe PDF | View/Open |
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