Investigating the Impacts of Resiliency of the Automation System on Distribution Network Resilience
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A4 Artikkeli konferenssijulkaisussa
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Date
2023
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Language
en
Pages
5
6-10
6-10
Series
Proceedings - 2023 IEEE PES GTD International Conference and Exposition, GTD 2023
Abstract
Recently, the problem of resilience of distribution networks against high impact low probability (HILP) events (i.e. hurricane) has been raised as one of the newest challenges discussed by engineers and researchers. On the other hand, the transformation of traditional electricity distribution systems into smart networks that have the ability to automatically perform switching and fault locating could enable the utilities to minimize the operational costs in case of HILP events occurrences. In this paper, while presenting a model for hurricane incidence, the impact of the automation system on network resilience has been investigated. Accordingly, a modeling scheme is first developed to investigate the effects of the hurricane on the network failures. Then, the impacts of the automation system on resilience of the network against hurricane is studied. Finally, the proposed model is applied on a test-system to study the effectiveness of the automation system resilience on resiliency of distribution systems.Description
Funding Information: ACKNOWLEDGMENT This work was performed under grant number 97023043 from Iran National Science Foundations (INSF). Publisher Copyright: © 2023 IEEE.
Keywords
distribution automation, distribution network, high impact low probability events, HILP, hurricane, power system smart network, Resiliency
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Citation
Sadeghian-Jahromi, M, Lehtonen, M, Fotuhi-Firuzabad, M, Fattaheian-Dehkordi, S & Heidary, S 2023, Investigating the Impacts of Resiliency of the Automation System on Distribution Network Resilience . in M T Sandikkaya & O Usta (eds), Proceedings - 2023 IEEE PES GTD International Conference and Exposition, GTD 2023 . Proceedings - 2023 IEEE PES GTD International Conference and Exposition, GTD 2023, IEEE, pp. 6-10, IEEE PES Generation, Transmission and Distribution International Conference and Exposition, Istanbul, Türkiye, 22/05/2023 . https://doi.org/10.1109/GTD49768.2023.00028