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dc.contributor.authorGe, Pudong
dc.contributor.authorTeng, Fei
dc.contributor.authorKonstantinou, Charalambos
dc.contributor.authorHu, Shiyan
dc.date.accessioned2022-01-17T13:38:36Z
dc.date.available2021-09-07T11:42:11Z
dc.date.available2022-01-17T13:38:36Z
dc.date.issued2022-01-06
dc.date.submitted2021-09-01
dc.identifier.citationGe, P., Teng, F., Konstantinou, C., & Hu, S. (2022). A resilience-oriented centralised-to-decentralised framework for networked microgrids management. Applied Energy, 308, 118234. doi:10.1016/j.apenergy.2021.118234
dc.identifier.issn0306-2619
dc.identifier.doi10.1016/j.apenergy.2021.118234
dc.identifier.urihttp://hdl.handle.net/10754/671004
dc.description.abstractThis paper proposes a cyber–physical cooperative mitigation framework to enhance power systems resilience against power outages caused by extreme events, e.g., earthquakes and hurricanes. Extreme events can simultaneously damage the physical-layer electric power infrastructure and the cyber-layer communication facilities. Microgrid (MG) has been widely recognised as an effective physical-layer response to such events, however, the mitigation strategy in the cyber lay is yet to be fully investigated. Therefore, this paper proposes a resilience-oriented centralised-to-decentralised framework to maintain the power supply of critical loads such as hospitals, data centres, etc., under extreme events. For the resilient control, controller-to-controller (C2C) wireless network is utilised to form the emergency regional communication when centralised base station being compromised. Owing to the limited reliable bandwidth that reserved as a backup, the inevitable delays are dynamically minimised and used to guide the design of a discrete-time distributed control algorithm to maintain post-event power supply. The effectiveness of the cooperative cyber–physical mitigation framework is demonstrated through extensive simulations in MATLAB/Simulink.
dc.description.sponsorshipThis work was supported by EPSRC under Grant EP/T021780/1 and by The Royal Society under Grant RGS/R1/211256.
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0306261921014987
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Applied Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Energy, [308, , (2022-01-06)] DOI: 10.1016/j.apenergy.2021.118234 . © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleA resilience-oriented centralised-to-decentralised framework for networked microgrids management
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.identifier.journalApplied Energy
dc.rights.embargodate2023-01-06
dc.eprint.versionPost-print
dc.contributor.institutionorganization=Department of Electrical and Electronic Engineering, Imperial College London,city=London, postcode=SW7 2AZ, country=United Kingdom
dc.contributor.institutionorganization=School of Electronics and Computer Science, University of Southampton,city=Southampton, postcode=SO17 1BJ, country=United Kingdom
dc.identifier.volume308
dc.identifier.pages118234
dc.identifier.arxivid2109.00245
kaust.personKonstantinou, Charalambos
dc.date.accepted2021-11-19
dc.identifier.eid2-s2.0-85122270195
refterms.dateFOA2021-09-07T11:43:21Z


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