Abstract
Critical Infrastructures (CI) are increasingly responsible for vital services our society relies on; therefore, assessing their resilience is of utmost importance for improving trustworthiness on their services. Given the many challenges and open issues involved, a number of initiatives have been ongoing in the last decade, researching methods and developing tools for resilience assessment of critical infrastructures. Moving from the major challenges posed by CI from the point of view of resilience assessment and assessment needs, this chapter overviews a modelling framework for the analysis of interdependencies in Electric Power Systems (EPS), adopting a state-based stochastic approach. First, it is shown how the selected approach deals with the interdependencies, complexity, heterogeneity and scalability dictated by the infrastructures involved in framework implementation are then discussed, and some illustrative examples of different typologies of analysis are provided on selected EPS scenarios.
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Notes
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Events that impact on the electrical equilibrium are typically an EI component’s failure or the insertion of a new/repaired EI component.
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Not anonymous replicas can be identified by an index.
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Acknowledgments
This work has been partially supported by the European Community through the IST Projects CRUTIAL [245](Contract n. 027513) and by the Italian Ministry for Education, University, and Research (MIUR) in the framework of the Project of National Research Interest (PRIN) “DOTS-LCCI: Dependable Off-The-Shelf based middleware systems for Large-scale Complex Critical Infrastructures”.
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© 2012 Springer-Verlag Berlin Heidelberg
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Chiaradonna, S., Di Giandomenico, F., Lollini, P. (2012). Case Study on Critical Infrastructures: Assessment of Electric Power Systems. In: Wolter, K., Avritzer, A., Vieira, M., van Moorsel, A. (eds) Resilience Assessment and Evaluation of Computing Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29032-9_18
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DOI: https://doi.org/10.1007/978-3-642-29032-9_18
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