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Restoration of smart grids: Current status, challenges, and opportunities
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. School of Reliability and Systems Engineering, Beihang University, Beijing, 100191, PR China.
School of Reliability and Systems Engineering, Beihang University, Beijing, 100191, PR China.
School of Reliability and Systems Engineering, Beihang University, Beijing, 100191, PR China.
Department of Mechanical and Industrial Engineering, Norwegian University of Science & Technology, Trondheim, Norway.
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2021 (English)In: Renewable & sustainable energy reviews, ISSN 1364-0321, E-ISSN 1879-0690, Vol. 143, article id 110909Article, review/survey (Refereed) Published
Abstract [en]

Smart grids, which constitute intelligent infrastructure in smart cities, provide reliable, energy-efficient, and high-quality power to improve the standard of living while maintaining a sustainable environment. For self-healing, restoration is considered an effective and intelligent way to ensure that parts of the system remain active and even reconfigure automatically with external failures or attacks. Restoration has recently received considerable attention from researchers and engineers. Regarding the technical route of restoration, this survey reveals some common properties and identifies the research gaps in modeling frameworks, reconfiguration technologies, and optimization approaches. It presents a summary of the challenges and opportunities in restoration of smart grids. It is expected to facilitate the researchers in the advancement of effective and intelligent restoration of smart grids.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 143, article id 110909
Keywords [en]
Smart grid, Reconfiguration, Restoration, Optimization, Availability
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-83243DOI: 10.1016/j.rser.2021.110909ISI: 000637710200012Scopus ID: 2-s2.0-85102034912OAI: oai:DiVA.org:ltu-83243DiVA, id: diva2:1536758
Note

Validerad;2021;Nivå 2;2021-03-12 (alebob)

Available from: 2021-03-12 Created: 2021-03-12 Last updated: 2021-05-18Bibliographically approved

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Fan, DongmingLin, Jing

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