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Optimal microgrid formation to improve the resilience of power system withstanding the storm
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dc.contributor.authorWidiputra, Victor-
dc.contributor.authorOh, Seongmun-
dc.contributor.authorJung, Jaesung-
dc.date.issued2019-11-01-
dc.identifier.issn2572-7621-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36470-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85083031223&origin=inward-
dc.description.abstractThe resilience index shows the performance of the power system to anticipate, absorb, recover, and adapt under major natural disaster. To increase the resilience index, the damage and its duration must be minimized. The distributed energy resource (DER) can improve the resilience index by forming a microgrid when the system is damaged. This paper proposes an algorithm to identify the optimal microgrid formation to improve the resilience index of the system. First, it finds the islanded buses in the power system by converting the system into its bus injection to bus current (BIBC) matrix. Then, the algorithm forms a microgrid by installing the DER in the islanded buses to improve the resilience index. To verify the algorithm, simulations are performed to obtain the resilience index under four storms that have happened in the past. The results show that the optimal microgrid formation can improve the system resilience to storms.-
dc.description.sponsorshipThis work was supported by the Korea Institute of Energy Technology Evaluation and Planning(KETEP) and the Ministry of Trade, Industry & Energy(MOTIE) of the Republic of Korea (No. 20191210301820).-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subject.meshBus currents-
dc.subject.meshDistributed energy resource-
dc.subject.meshMajor natural disasters-
dc.subject.meshMicro grid-
dc.subject.meshResilience index-
dc.subject.meshSystem resiliences-
dc.titleOptimal microgrid formation to improve the resilience of power system withstanding the storm-
dc.typeConference-
dc.citation.conferenceDate2019.11.12. ~ 2019.11.14.-
dc.citation.conferenceName2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019-
dc.citation.editionProceedings of 2019 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2019-
dc.citation.titleIEEE Region 10 Humanitarian Technology Conference, R10-HTC-
dc.citation.volume2019-November-
dc.identifier.bibliographicCitationIEEE Region 10 Humanitarian Technology Conference, R10-HTC, Vol.2019-November-
dc.identifier.doi10.1109/r10-htc47129.2019.9042489-
dc.identifier.scopusid2-s2.0-85083031223-
dc.identifier.urlhttps://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8625998-
dc.subject.keywordDistributed Energy Resource (DER)-
dc.subject.keywordGrid Resilience-
dc.subject.keywordMajor Natural Disaster-
dc.subject.keywordMicrogrid-
dc.subject.keywordOptimum Placement-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaWaste Management and Disposal-
dc.subject.subareaDevelopment-
dc.subject.subareaGeography, Planning and Development-
dc.subject.subareaPollution-
dc.subject.subareaRenewable Energy, Sustainability and the Environment-
dc.subject.subareaEnvironmental Engineering-
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