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dc.contributor.authorMyhre, Stine Fleischer
dc.contributor.authorFosso, Olav B
dc.contributor.authorHeegaard, Poul Einar
dc.contributor.authorGjerde, Oddbjørn
dc.contributor.authorKjølle, Gerd Hovin
dc.date.accessioned2020-09-08T07:11:38Z
dc.date.available2020-09-08T07:11:38Z
dc.date.created2020-09-03T08:38:21Z
dc.date.issued2020
dc.identifier.isbn978-1-7281-2822-1
dc.identifier.urihttps://hdl.handle.net/11250/2676777
dc.description.abstractThe extensive integration of information and communication technology (ICT) in the future electrical power system transforms the power system to a cyber physical system (CPS), making it a system-of-systems. This new system topology creates interdependent relationships between the cyber and the physical parts in the power system and introduces new possible vulnerabilities and risks which might lead to unwanted events such as outages and blackouts. For electrical power system operators, it is important to understand the new complexity of the system and how to address these new changes in order to ensure safe system operation and security of electricity supply. This paper focuses on the introduction of complex network theory as a method to discover and measure the importance of the system nodes, both electrical and ICT, in a combined electrical power distribution and communication network. There are two different methods used for measuring the importance, 1) betweenness centrality and 2) node attack method. The methods are evaluated through a case study and found suitable in capturing the important nodes in the combined electrical power and communication network.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartof2020 International Conference on Probabilistic Methods Applied to Power Systems - PMAPS
dc.titleModeling Interdependencies with Complex Network Theory in a Combined Electrical Power and ICT Systemen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.identifier.doi10.1109/PMAPS47429.2020.9183667
dc.identifier.cristin1826942
dc.relation.projectNorges forskningsråd: 257626en_US
dc.description.localcode© 2020 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.en_US
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