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Dynamic Robustness Modelling of Electricity Critical Infrastructure Elements as a Part of Energy Security

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27200%2F22%3A10247981" target="_blank" >RIV/61989100:27200/22:10247981 - isvavai.cz</a>

  • Alternative codes found

    RIV/70883521:28140/22:63556018

  • Result on the web

    <a href="https://doi.org/10.1016/j.ijepes.2021.107700" target="_blank" >https://doi.org/10.1016/j.ijepes.2021.107700</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ijepes.2021.107700" target="_blank" >10.1016/j.ijepes.2021.107700</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Dynamic Robustness Modelling of Electricity Critical Infrastructure Elements as a Part of Energy Security

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50902 - Social sciences, interdisciplinary

Result continuities

  • Project

    <a href="/en/project/VI20192022151" target="_blank" >VI20192022151: CIRFI 2019: Indication of critical infrastructure resilience failure</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Electrical Power &amp; Energy Systems

  • ISSN

    0142-0615

  • e-ISSN

    1879-3517

  • Volume of the periodical

    136

  • Issue of the periodical within the volume

    March

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    16

  • Pages from-to

    107700

  • UT code for WoS article

    000717809600003

  • EID of the result in the Scopus database

    2-s2.0-85118345215