Network topology and resilience analysis of South Korean power grid
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Dong Hwan | - |
dc.contributor.author | Eisenberg, Daniel A. | - |
dc.contributor.author | Chun, Yeong Han | - |
dc.contributor.author | Park, Jeryang | - |
dc.date.available | 2020-07-10T05:22:52Z | - |
dc.date.created | 2020-07-06 | - |
dc.date.issued | 2017-01 | - |
dc.identifier.issn | 0378-4371 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/6202 | - |
dc.description.abstract | In this work, we present topological and resilience analyses of the South Korean power grid (KPG) with a broad voltage level. While topological analysis of KPG only with high-voltage infrastructure shows an exponential degree distribution, providing another empirical evidence of power grid topology, the inclusion of low voltage components generates a distribution with a larger variance and a smaller average degree. This result suggests that the topology of a power grid may converge to a highly skewed degree distribution if more low-voltage data is considered. Moreover, when compared to ER random and BA scale free networks, the KPG has a lower efficiency and a higher clustering coefficient, implying that highly clustered structure does not necessarily guarantee a functional efficiency of a network. Error and attack tolerance analysis, evaluated with efficiency, indicate that the KPG is more vulnerable to random or degree-based attacks than betweenness-based intentional attack. Cascading failure analysis with recovery mechanism demonstrates that resilience of the network depends on both tolerance capacity and recovery initiation time. Also, when the two factors are fixed, the KPG is most vulnerable among the three networks. Based on our analysis, we propose that the topology of power grids should be designed so the loads are homogeneously distributed, or functional hubs and their neighbors have high tolerance capacity to enhance resilience. (C) 2016 Elsevier B.V. All rights reserved. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.title | Network topology and resilience analysis of South Korean power grid | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chun, Yeong Han | - |
dc.contributor.affiliatedAuthor | Park, Jeryang | - |
dc.identifier.doi | 10.1016/j.physa.2016.08.002 | - |
dc.identifier.scopusid | 2-s2.0-84983472401 | - |
dc.identifier.wosid | 000386411700002 | - |
dc.identifier.bibliographicCitation | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v.465, pp.13 - 24 | - |
dc.relation.isPartOf | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | - |
dc.citation.title | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | - |
dc.citation.volume | 465 | - |
dc.citation.startPage | 13 | - |
dc.citation.endPage | 24 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Physics, Multidisciplinary | - |
dc.subject.keywordPlus | CASCADING FAILURES | - |
dc.subject.keywordPlus | COMPLEX NETWORKS | - |
dc.subject.keywordPlus | ATTACK TOLERANCE | - |
dc.subject.keywordPlus | VULNERABILITY | - |
dc.subject.keywordPlus | ERROR | - |
dc.subject.keywordAuthor | Complex network | - |
dc.subject.keywordAuthor | Scale-free | - |
dc.subject.keywordAuthor | Vulnerability | - |
dc.subject.keywordAuthor | Robustness | - |
dc.subject.keywordAuthor | Critical infrastructure | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.