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A multi-perspective framework of analysis of critical infrastructures with respect to supply service, controllability and topology

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  • Han, Fangyuan
  • Zio, Enrico

Abstract

In this work, we propose a multi-perspective framework of analysis of critical infrastructures (CIs) with respect to supply service, topology and controllability. The framework enables identifying the role of CI elements and quantifying the consequences of scenarios of multiple failures, with respect to the different perspectives considered. To present the analysis framework, a benchmark network representative of a real gas transmission network across several countries of the European Union (EU) is considered. The information extracted from such analysis can help us to identify the critical elements and how the properties of the network are affected by failures, and to propose corresponding improvements for CIs. The findings of this paper demonstrate the interest of considering several perspectives in the analysis of CIs for providing useful information for ensuring their safe and reliable operation.

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  • Han, Fangyuan & Zio, Enrico, 2019. "A multi-perspective framework of analysis of critical infrastructures with respect to supply service, controllability and topology," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 1-13.
  • Handle: RePEc:eee:ijocip:v:24:y:2019:i:c:p:1-13
    DOI: 10.1016/j.ijcip.2018.10.009
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    1. Lu, Weiwei & Su, Meirong & Fath, Brian D. & Zhang, Mingqi & Hao, Yan, 2016. "A systematic method of evaluation of the Chinese natural gas supply security," Applied Energy, Elsevier, vol. 165(C), pages 858-867.
    2. Ramirez-Marquez, José Emmanuel & Rocco, Claudio M., 2008. "All-terminal network reliability optimization via probabilistic solution discovery," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1689-1697.
    3. Noah J Cowan & Erick J Chastain & Daril A Vilhena & James S Freudenberg & Carl T Bergstrom, 2012. "Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-5, June.
    4. Li, Y.F. & Sansavini, G. & Zio, E., 2013. "Non-dominated sorting binary differential evolution for the multi-objective optimization of cascading failures protection in complex networks," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 195-205.
    5. Zhang, Zili & Li, Xiangyang & Li, Hengyun, 2015. "A quantitative approach for assessing the critical nodal and linear elements of a railway infrastructure," International Journal of Critical Infrastructure Protection, Elsevier, vol. 8(C), pages 3-15.
    6. Limiao, Zhang & Daqing, Li & Pengju, Qin & Bowen, Fu & Yinan, Jiang & Zio, Enrico & Rui, Kang, 2016. "Reliability analysis of interdependent lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 120-125.
    7. J. M. Ottino, 2004. "Engineering complex systems," Nature, Nature, vol. 427(6973), pages 399-399, January.
    8. Praks, Pavel & Kopustinskas, Vytis & Masera, Marcelo, 2015. "Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 254-264.
    9. Cadini, F. & Zio, E. & Petrescu, C.A., 2010. "Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 173-181.
    10. Zio, E. & Golea, L.R., 2012. "Analyzing the topological, electrical and reliability characteristics of a power transmission system for identifying its critical elements," Reliability Engineering and System Safety, Elsevier, vol. 101(C), pages 67-74.
    11. Zio, E., 2009. "Reliability engineering: Old problems and new challenges," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 125-141.
    12. Lewis, Adam M. & Ward, David & Cyra, Lukasz & Kourti, Naouma, 2013. "European Reference Network for Critical Infrastructure Protection," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(1), pages 51-60.
    13. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
    14. Bakolas, Efstathios & Saleh, Joseph H., 2011. "Augmenting defense-in-depth with the concepts of observability and diagnosability from Control Theory and Discrete Event Systems," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 184-193.
    15. Crucitti, Paolo & Latora, Vito & Marchiori, Massimo, 2004. "A topological analysis of the Italian electric power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 92-97.
    16. Zhengzhong Yuan & Chen Zhao & Zengru Di & Wen-Xu Wang & Ying-Cheng Lai, 2013. "Exact controllability of complex networks," Nature Communications, Nature, vol. 4(1), pages 1-9, December.
    17. Li, Jian & Dueñas-Osorio, Leonardo & Chen, Changkun & Shi, Congling, 2016. "Connectivity reliability and topological controllability of infrastructure networks: A comparative assessment," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 24-33.
    18. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2012. "Control Centrality and Hierarchical Structure in Complex Networks," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
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    Cited by:

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    2. Molinos-Senante, María & Chamorro, Alondra & Contreras, Marta & Echaveguren, Tomas, 2023. "Natural hazard risk management in the Chilean drinking water industry: Diagnosis and recommendations," Utilities Policy, Elsevier, vol. 82(C).
    3. Corrado lo Storto, 2019. "An SNA-DEA Prioritization Framework to Identify Critical Nodes of Gas Networks: The Case of the US Interstate Gas Infrastructure," Energies, MDPI, vol. 12(23), pages 1-18, December.
    4. Martin Hromada & David Rehak & Ludek Lukas, 2021. "Resilience Assessment in Electricity Critical Infrastructure from the Point of View of Converged Security," Energies, MDPI, vol. 14(6), pages 1-20, March.

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