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Article: Review on Resilience Enhancement Strategies for Power Systems with Massive Resources Under Multi-source Uncertainties

TitleReview on Resilience Enhancement Strategies for Power Systems with Massive Resources Under Multi-source Uncertainties
多元不确定性环境下含海量资源电力系统的弹性提升技术
Authors
Keywordsmassive resources
power system
resilience
resilience enhancement strategy
uncertainty
Issue Date20-Sep-2022
PublisherScience Press
Citation
Gaodianya Jishu/High Voltage Engineering, 2022, v. 48, n. 9, p. 3484-3496 How to Cite?
AbstractThe advancement in communication and power electronics technologies, as well as the energy transition, brings about a major transformation of power system; meanwhile, the multi-variant uncertainty of power system is also introduced in the potential resilience operation during extreme events by the diversification of power generation entities, flexibility of grid structure, and diversification of load types. By discussing the potentials and challenges induced by the penetration of massive heterogeneous resources in the context of power system resilience enhancement, this paper demonstrates the multi-source uncertainties as the critical causes limiting the resilience enhancement. On this premise, the relevant study on the contribution of massive resources to the resilience enhancement is reviewed. The research framework of multi-source uncertainties under extreme events is then presented, along with a summary of the relevant optimization modeling techniques. Finally, the paper puts forward the prospects in future study so as to provide a reference for the resilience enhancement problems in the presence of multi-source uncertainties.
Persistent Identifierhttp://hdl.handle.net/10722/338419
ISSN
2023 SCImago Journal Rankings: 0.781

 

DC FieldValueLanguage
dc.contributor.authorLi, Y-
dc.contributor.authorYin, W-
dc.contributor.authorLong, Q-
dc.contributor.authorHou, Y-
dc.date.accessioned2024-03-11T10:28:42Z-
dc.date.available2024-03-11T10:28:42Z-
dc.date.issued2022-09-20-
dc.identifier.citationGaodianya Jishu/High Voltage Engineering, 2022, v. 48, n. 9, p. 3484-3496-
dc.identifier.issn1003-6520-
dc.identifier.urihttp://hdl.handle.net/10722/338419-
dc.description.abstractThe advancement in communication and power electronics technologies, as well as the energy transition, brings about a major transformation of power system; meanwhile, the multi-variant uncertainty of power system is also introduced in the potential resilience operation during extreme events by the diversification of power generation entities, flexibility of grid structure, and diversification of load types. By discussing the potentials and challenges induced by the penetration of massive heterogeneous resources in the context of power system resilience enhancement, this paper demonstrates the multi-source uncertainties as the critical causes limiting the resilience enhancement. On this premise, the relevant study on the contribution of massive resources to the resilience enhancement is reviewed. The research framework of multi-source uncertainties under extreme events is then presented, along with a summary of the relevant optimization modeling techniques. Finally, the paper puts forward the prospects in future study so as to provide a reference for the resilience enhancement problems in the presence of multi-source uncertainties.-
dc.languageeng-
dc.publisherScience Press-
dc.relation.ispartofGaodianya Jishu/High Voltage Engineering-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectmassive resources-
dc.subjectpower system-
dc.subjectresilience-
dc.subjectresilience enhancement strategy-
dc.subjectuncertainty-
dc.titleReview on Resilience Enhancement Strategies for Power Systems with Massive Resources Under Multi-source Uncertainties-
dc.title多元不确定性环境下含海量资源电力系统的弹性提升技术-
dc.typeArticle-
dc.identifier.doi10.13336/j.1003-6520.hve.20221191-
dc.identifier.scopuseid_2-s2.0-85146487685-
dc.identifier.volume48-
dc.identifier.issue9-
dc.identifier.spage3484-
dc.identifier.epage3496-
dc.identifier.issnl1003-6520-

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