Dynamic robustness modelling of electricity critical infrastructure elements as a part of energy security. (March 2022)

• Record Type: Journal Article
• Authors: Rehak, David; Hromada, Martin; Onderkova, Vendula; Walker, Neil; Fuggini, Clemente
• Is Part Of: International journal of electrical power & energy systems. Volume 136(2022)
• Publication Date: 2022-03
• Subjects: Electricity critical infrastructure -- Resilience -- Robustness assessment -- Dynamic modelling -- Disruptive event -- Dynamic Robustness Modelling (DRM) method; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2021.107700
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Dynamic Robustness Modelling (DRM) in Electricity Critical Infrastructure (ECI). The DRM is a stochastic method that uses principles of integral calculus. The DRM models the ECI element robustness decrease as a disruptive event function. The DRM can predict the critical point of failure in performance in ECI element. The case study examines an intentional man-made attack on a transformer station. 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.