Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29177
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dc.contributor.authorZhou, Z-
dc.contributor.authorZhang, X-
dc.contributor.authorZhang, J-
dc.contributor.authorTaylor, G-
dc.date.accessioned2024-06-14T11:51:17Z-
dc.date.available2024-06-14T11:51:17Z-
dc.date.issued2024-05-28-
dc.identifierORCiD: Xin Zhang https://orcid.org/0000-0002-6063-959X-
dc.identifierORCiD: Gareth Taylor https://orcid.org/0000-0003-0867-2365-
dc.identifier.citationZhou, Z. et al. (2024) 'Comprehensive review on dynamic state estimation techniques with cybersecurity applications', IET Smart Grid, 0 (ahead of print), pp. 1 - 16. doi: 10.1049/stg2.12168.en_US
dc.identifier.issn2515-2947-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/29177-
dc.descriptionData Availability Statement: Data will be made available for research and non-commercial purpose, and can be requested from the corresponding author.en_US
dc.description.abstractThe role of cybersecurity in cyber-physical power systems (CPPS) is reviewed, focusing on the applications of dynamic state estimation (DSE) techniques. These DSE techniques are particularly relevant with the integration of phasor measurement units (PMUs) and advanced communication infrastructure. A comprehensive review on DSE techniques and applications to efficiently protect CPPS against cyberattacks is classified into three cyber resilience phases including prevention, detection, and mitigation. The DSE techniques in the prevention phase are surveyed to improve the observability of the CPPS by the robust design of the Kalman filter and optimal protection of PMUs. The DSE techniques in the detection phase are surveyed to improve the adaptability of CPPS in various attack detection scenerios and optimise the detection accuracy. The DSE techniques in the mitigation phase are surveyed to enhance the flexibility of CPPS resource utilisation with compensation-based, isolation-based, and scheduling-based strategies. Finally, the benefits and limitations of each DSE technique are summarised with potential suggestions on research directions for enhancing the cyber resilience of CPPS.en_US
dc.description.sponsorshipUK Research and Innovation Future Leaders Fellowship (grant number: MR/W011360/2): ‘Digitalisation of Electrical Power and Energy Systems Operation’.en_US
dc.format.extent1 - 16-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoenen_US
dc.publisherWiley on behalf of The Institution of Engineering and Technologyen_US
dc.rightsCopyright © 2024 The Authors. IET Smart Grid published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectpower gridsen_US
dc.subjectpower system controlen_US
dc.subjectpower system cyber‐security and privacyen_US
dc.subjectpower system managementen_US
dc.subjectpower system measurementen_US
dc.subjectpower system simulationen_US
dc.subjectsecurity of dataen_US
dc.titleComprehensive review on dynamic state estimation techniques with cybersecurity applicationsen_US
dc.typeArticleen_US
dc.date.dateAccepted2024-03-25-
dc.identifier.doihttps://doi.org/10.1049/stg2.12168-
dc.relation.isPartOfIET Smart Grid-
pubs.issueahead of print-
pubs.publication-statusPublished online-
pubs.volume0-
dc.identifier.eissn2515-2947-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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