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Hybrid systems modeling for critical infrastructures interdependency analysis

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  • Heracleous, Constantinos
  • Kolios, Panayiotis
  • Panayiotou, Christos G.
  • Ellinas, Georgios
  • Polycarpou, Marios M.

Abstract

Critical infrastructure systems (CISs) are large scale and complex systems, across which many interdependencies exist. As a result, several modeling and simulation approaches are being employed to study the concurrent operation of multiple CISs and their interdependencies. Complementary to existing literature, this work develops and implements a modeling and simulation framework based on open hybrid automata to analyze CISs interdependencies. With the proposed approach, it is possible to develop accurate models of infrastructure components, and interlink them together based on their dependencies; in effect creating larger and more complex models that incorporate interdependencies. By implementing specific setups using varying operating conditions, one can study the cascading effects of interdependencies, perform a detailed vulnerability assessment and conduct an extensive planning exercise. To demonstrate the applicability of the proposed framework, a setup with three different types of CISs (i.e., power, telecom and water) components is investigated. Extensive simulation results are used to provide insights on the cascading effects, vulnerabilities and maintenance planning strategies.

Suggested Citation

  • Heracleous, Constantinos & Kolios, Panayiotis & Panayiotou, Christos G. & Ellinas, Georgios & Polycarpou, Marios M., 2017. "Hybrid systems modeling for critical infrastructures interdependency analysis," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 89-101.
    • Handle: RePEc:eee:reensy:v:165:y:2017:i:c:p:89-101
    DOI: 10.1016/j.ress.2017.03.028
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    9. Rahimi-Golkhandan, Armin & Aslani, Babak & Mohebbi, Shima, 2022. "Predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    10. Zhou, Shenghua & Yang, Yifan & Ng, S. Thomas & Xu, J. Frank & Li, Dezhi, 2020. "Integrating data-driven and physics-based approaches to characterize failures of interdependent infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).
    11. Hai-xiang Guo & Xin-yu He & Xin-biao Lv & Yang Wu, 2024. "Risk analysis of rainstorm-urban lifeline system disaster chain based on the PageRank-risk matrix and complex network," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(12), pages 10583-10606, September.
    12. Bárbara Brzezinski Azevedo & Tarcísio Abreu Saurin, 2018. "Losses in Water Distribution Systems: A Complexity Theory Perspective," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 2919-2936, July.
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