Towards a Model for Assessing the Effects of Social-Cyber-Physical Threats on the Future Power Grid – Review and Workshop Results

annif.suggestionselectrical power networks|technology|energy|energy production (process industry)|effects (results)|change|electrical engineering|distribution of electricity|safety and security|renewable energy sources|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p7753|http://www.yso.fi/onto/yso/p2339|http://www.yso.fi/onto/yso/p1310|http://www.yso.fi/onto/yso/p2384|http://www.yso.fi/onto/yso/p795|http://www.yso.fi/onto/yso/p277|http://www.yso.fi/onto/yso/p1585|http://www.yso.fi/onto/yso/p187|http://www.yso.fi/onto/yso/p7349|http://www.yso.fi/onto/yso/p20762en
dc.contributor.authorBerg, Petra
dc.contributor.authorBerlijn, Sonja Monica
dc.contributor.authorEltahawy, Bahaa
dc.contributor.authorHilber, Patrik
dc.contributor.authorKarimi, Mazaher
dc.contributor.authorKlepper, Karina Barnholt
dc.contributor.authorTurtola, Linda
dc.contributor.authorUlshagen, Andrea
dc.contributor.authorXu, Qianwen
dc.contributor.departmentVebic-
dc.contributor.facultyfi=Markkinoinnin ja viestinnän yksikkö|en=School of Marketing and Communication|-
dc.contributor.orcidhttps://orcid.org/0000-0002-7899-3458-
dc.contributor.orcidhttps://orcid.org/0000-0001-6372-7547-
dc.contributor.orcidhttps://orcid.org/0000-0003-2145-4936-
dc.contributor.organizationfi=Vaasan yliopisto|en=University of Vaasa|
dc.date.accessioned2025-01-08T11:29:57Z
dc.date.accessioned2025-06-25T13:55:31Z
dc.date.available2025-01-08T11:29:57Z
dc.date.issued2024-06-25
dc.description.abstractThe energy system, including the electrical power system, is currently undergoing major changes to meet increased demands and climate target plans, and to stand against potential malicious activities and all sorts of disruptions. Specifically, the electrical power system is drastically changing with regards to consumption, production, transmission, control, monitoring, markets, and digitalization. Such a change, however, makes the power system an attractive and vulnerable target to all kinds of disruptive events and social-cyber-physical attacks since the system is crucial for the functioning of the society and economy. In this work, to act against such events and to study the future power system's susceptibility and resilience towards social-cyber-physical attacks, the Resilient Digital Sustainable Energy Transition (REDISET) project has shown the need for a new model that is able to describe the future electrical power system in a way that reflects the future reality. In this paper, existing power system models, the changing landscape of power systems, the drivers for a new model, the suggested model that comprises 7 building blocks instead of today's 3, and finally a direction of future related work are presented.-
dc.description.notification©2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|-
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent6-
dc.identifier.isbn979-8-3503-6496-5-
dc.identifier.olddbid22312
dc.identifier.oldhandle10024/18591
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/3005
dc.identifier.urnURN:NBN:fi-fe202501081833-
dc.language.isoeng-
dc.publisherIEEE-
dc.relation.conferenceInternational Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE)-
dc.relation.doi10.1109/aie61866.2024.10561312-
dc.relation.funderNordic Energy Research-
dc.relation.funderBusiness Finland-
dc.relation.funderThe Swedish Energy Agency-
dc.relation.funderThe Norwegian SmartGrid Centre-
dc.relation.funderStatnett-
dc.relation.funderSvenska Kraftnät-
dc.relation.funderFingrid-
dc.relation.isbn979-8-3503-6497-2-
dc.relation.ispartof2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE)-
dc.relation.urlhttps://doi.org/10.1109/AIE61866.2024.10561312-
dc.source.identifierScopus:85197885404-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/18591
dc.subjectPower Grid-
dc.subjectResilience-
dc.subjectSocial-cyber-physical Threats-
dc.subject.disciplinefi=Markkinointi|en=Marketing|-
dc.subject.disciplinefi=Sähkötekniikka|en=Electrical Engineering|-
dc.subject.disciplinefi=Tietotekniikka|en=Computer Science|-
dc.titleTowards a Model for Assessing the Effects of Social-Cyber-Physical Threats on the Future Power Grid – Review and Workshop Results-
dc.type.okmfi=A4 Artikkeli konferenssijulkaisussa|en=A4 Peer-reviewed article in conference proceeding|sv=A4 Artikel i en konferenspublikation|-
dc.type.publicationarticle-
dc.type.versionacceptedVersion-

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