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A cyberattack detection and mitigation framework for community-based microgrids

datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorVelarde, P.
dc.contributor.authorZafra-Cabeza, A.
dc.contributor.authorSantos, Joni
dc.contributor.authorMonteiro, Jânio
dc.contributor.authorBordons, C.
dc.date.accessioned2026-09-15T10:00:05Z
dc.date.available2026-09-15T10:00:05Z
dc.date.issued2025-06-24
dc.description.abstractThis article presents a Model Predictive Control approach aimed at enhancing the resilience of community-based microgrids against cyberattacks, using the energy community of Culatra Island, located in Algarve- Portugal, as a case study. Additionally, this work incorporates cybersecurity measures designed to detect and mitigate various types of cyberattacks. By applying residual analysis, the control system is able to identify anomalies in key parameters such as power balance and battery state of charge, which allows for the implementation of targeted mitigation strategies. The results demonstrate the effectiveness of the system in maintaining stability and operational resilience under different attack scenarios. Index Terms— microgrid, model predictive control, energy community, cyberattacks.eng
dc.description.sponsorshipPID2022-142069OB-I00, funded by MICIU/AEI/10.13039/501100011033/ and by FEDER, EU, and part of the AGERAR PLUS project funded by FEDER-POCTEP
dc.identifier.doi10.23919/ecc65951.2025.11187010
dc.identifier.isbn978-3-907144-12-1
dc.identifier.issn2996-8895
dc.identifier.urihttp://hdl.handle.net/10400.1/29442
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation.ispartof2025 European Control Conference (ECC)
dc.rights.uriN/A
dc.subjectRenewable energy sources
dc.subjectPrevention and mitigation
dc.subjectMicrogrids
dc.subjectBattery charge measurement
dc.subjectStability analysis
dc.subjectBatteries
dc.subjectState of charge
dc.subjectComputer crime
dc.subjectResilience
dc.subjectPredictive control
dc.titleA cyberattack detection and mitigation framework for community-based microgridseng
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceThessaloniki, Greece
oaire.citation.endPage2278
oaire.citation.startPage2273
oaire.citation.title2025 European Control Conference (ECC)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSantos
person.familyNameMonteiro
person.givenNameJoni
person.givenNameJânio
person.identifierR-001-H74
person.identifier.ciencia-id2A18-32C5-BE9C
person.identifier.ciencia-idD019-1CF7-B156
person.identifier.orcid0000-0003-0329-2507
person.identifier.orcid0000-0002-4203-1679
person.identifier.ridO-3416-2015
person.identifier.scopus-author-id35606413800
relation.isAuthorOfPublication89957a92-b0b3-4264-9434-9c1d95e213ef
relation.isAuthorOfPublication7701f2af-b9b8-42aa-bb1e-a13e5a4897be
relation.isAuthorOfPublication.latestForDiscovery89957a92-b0b3-4264-9434-9c1d95e213ef

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