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Dynamic robustness modelling of electricity critical infrastructure elements as a part of energy security

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dc.title Dynamic robustness modelling of electricity critical infrastructure elements as a part of energy security en
dc.contributor.author Řehák, David
dc.contributor.author Hromada, Martin
dc.contributor.author Onderková, Vendula
dc.contributor.author Walker, Neil
dc.contributor.author Fuggini, Clemente
dc.relation.ispartof International Journal of Electrical Power and Energy Systems
dc.identifier.issn 0142-0615 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2022
utb.relation.volume 136
dc.type article
dc.language.iso en
dc.publisher Elsevier Ltd
dc.identifier.doi 10.1016/j.ijepes.2021.107700
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0142061521009273
dc.subject electricity critical infrastructure en
dc.subject resilience en
dc.subject robustness assessment en
dc.subject dynamic modelling en
dc.subject disruptive event en
dc.subject Dynamic Robustness Modelling (DRM) method en
dc.description.abstract The key components of an Electricity Critical Infrastructure (ECI) are the elements of system required to permanently provide services with a certain performance level. In the case of disruptive events effects on these elements, the key security factor is their robustness, which is an important determinant of element resilience. Current methods can already assess the static level of element resilience but are as yet unable to creating dynamic models of resilience decrease due to disruptive events. In this context, dynamic security assessment is an important area for determining energy supply security. Based on this observation, the authors of the article created a method for Dynamic Robustness Modelling (DRM) which allows ECI element robustness dynamic modelling which can be clearly considered as a new concept of robust, secure and resilient of ECI. This stochastic method uses integral calculus and analysis of dynamic robustness in elements in the context of a predicted disruptive event scenario. The method quantifies the negative effect of predicted disruptive events and the subsequent decrease in the level of robustness due to this effect at the expected time of exposure. Practical use of the method is illustrated through a case study that models a decrease in the level of robustness of an electricity transformer station during an intentional man-made attack. © 2021 The Authors en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010646
utb.identifier.obdid 43884048
utb.identifier.scopus 2-s2.0-85118345215
utb.identifier.wok 000717809600003
utb.identifier.coden IEPSD
utb.source j-scopus
dc.date.accessioned 2021-11-19T09:40:22Z
dc.date.available 2021-11-19T09:40:22Z
dc.description.sponsorship Ministerstvo Vnitra České Republiky: VI20192022151; Vysoká Škola Bánská - Technická Univerzita Ostrava: SP2021/28
dc.description.sponsorship Ministry of the Interior of the Czech Republic [VI20192022151]; VSB -Technical University of Ostrava [SP2021/28]
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Hromada, Martin
utb.fulltext.affiliation David Rehak a,* , Martin Hromada b, Vendula Onderkova a, Neil Walker c, Clemente Fuggini d a VSB – Technical Unversity of Ostrava, Faculty of Safety Engineering, Lumirova 13, 700 30 Ostrava – Vyskovice, Czech Republic b Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, 760 05 Zlin, Czech Republic c International Association of Critical Infrastructure Protection Professionals, 200 Ware Road, Hoddesdon Herts EN11 9EY, United Kingdom d Rina Consulting S.p.A., Via Gran S. Bernardo Palazzo R, 20089 Rozzano, Italy
utb.fulltext.dates Received 4 June 2021; Received in revised form 23 September 2021; Accepted 11 October 2021
utb.fulltext.sponsorship This work was supported by the Ministry of the Interior of the Czech Republic [grant number VI20192022151] and by VSB - Technical University of Ostrava [grant number SP2021/28].
utb.wos.affiliation [Rehak, David; Onderkova, Vendula] VSB Tech Univ Ostrava, Fac Safety Engn, Lumirova 13, Ostrava 70030, Czech Republic; [Hromada, Martin] Tomas Bata Univ Zlin, Fac Appl Informat, Stranemi 4511, Zlin 76005, Czech Republic; [Walker, Neil] Int Assoc Crit Infrastruct Protect Profess, 200 Ware Rd, Hoddesdon EN11 9EY, Herts, England; [Fuggini, Clemente] Rina Consulting SpA, Via Gran S Bernardo Palazzo R, I-20089 Rozzano, Italy
utb.scopus.affiliation VSB – Technical Unversity of Ostrava, Faculty of Safety Engineering, Lumirova 13, Ostrava – Vyskovice, 700 30, Czech Republic; Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, Zlin, 760 05, Czech Republic; International Association of Critical Infrastructure Protection Professionals, 200 Ware Road, Hoddesdon Herts, EN11 9EY, United Kingdom; Rina Consulting S.p.A., Via Gran S. Bernardo Palazzo R, Rozzano, 20089, Italy
utb.fulltext.projects VI20192022151
utb.fulltext.projects SP2021/28
utb.fulltext.faculty Faculty of Applied Informatics
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