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Optimal microgrid formation to improve the resilience of power system withstanding the storm
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Publication Year
2019-11-01
Journal
IEEE Region 10 Humanitarian Technology Conference, R10-HTC
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Region 10 Humanitarian Technology Conference, R10-HTC, Vol.2019-November
Keyword
Distributed Energy Resource (DER)Grid ResilienceMajor Natural DisasterMicrogridOptimum Placement
Mesh Keyword
Bus currentsDistributed energy resourceMajor natural disastersMicro gridResilience indexSystem resiliences
All Science Classification Codes (ASJC)
Waste Management and DisposalDevelopmentGeography, Planning and DevelopmentPollutionRenewable Energy, Sustainability and the EnvironmentEnvironmental Engineering
Abstract
The 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.
ISSN
2572-7621
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36470
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85083031223&origin=inward
DOI
https://doi.org/10.1109/r10-htc47129.2019.9042489
Journal URL
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8625998
Type
Conference
Funding
This 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).
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Jung, Jaesung  Image
Jung, Jaesung 정재성
Department of Electrical and Computer Engineering
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