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Using interconnected risk maps to assess the threats faced by electricity infrastructures

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  • Correa-Henao, Gabriel J.
  • Yusta, Jose M.
  • Lacal-Arántegui, Roberto

Abstract

This paper describes a methodology for risk identification and risk assessment in electricity infrastructures. The approach leverages risk maps and can be applied to general infrastructure networks. A semi-quantitative assessment strategy that incorporates the creation of risk charts within a risk management framework is also presented. This strategy engages an intuitive graphical representation to identify the most significant threats affecting infrastructure networks. As a result, it is possible to conduct risk analyses of energy supply (and other) infrastructures within a region or country by engaging interconnected risk maps. The application of the methodology is demonstrated using a case study of a Colombian electricity infrastructure, which includes an estimation of the risk components.

Suggested Citation

  • Correa-Henao, Gabriel J. & Yusta, Jose M. & Lacal-Arántegui, Roberto, 2013. "Using interconnected risk maps to assess the threats faced by electricity infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(3), pages 197-216.
  • Handle: RePEc:eee:ijocip:v:6:y:2013:i:3:p:197-216
    DOI: 10.1016/j.ijcip.2013.10.002
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    References listed on IDEAS

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    1. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    2. Erik Pruyt & Diederik Wijnmalen, 2010. "National Risk Assessment in The Netherlands," Lecture Notes in Economics and Mathematical Systems, in: Matthias Ehrgott & Boris Naujoks & Theodor J. Stewart & Jyrki Wallenius (ed.), Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, pages 133-143, Springer.
    3. Yusta, Jose M. & Correa, Gabriel J. & Lacal-Arántegui, Roberto, 2011. "Methodologies and applications for critical infrastructure protection: State-of-the-art," Energy Policy, Elsevier, vol. 39(10), pages 6100-6119, October.
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    Citations

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    Cited by:

    1. Monsalve, Mauricio & de la Llera, Juan Carlos, 2019. "Data-driven estimation of interdependencies and restoration of infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 167-180.
    2. Genge, Béla & Haller, Piroska & Kiss, István, 2016. "A framework for designing resilient distributed intrusion detection systems for critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 15(C), pages 3-11.
    3. Jaradat, Ra’ed M. & Keating, Charles B., 2014. "Fragility of oil as a critical infrastructure problem," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(2), pages 86-99.
    4. Hassan Al-Zarooni & Hamdi Bashir, 0. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-23.
    5. Genge, Béla & Kiss, István & Haller, Piroska, 2015. "A system dynamics approach for assessing the impact of cyber attacks on critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 10(C), pages 3-17.
    6. Soumyatanu Mukherjee & Sidhartha S. Padhi, 2022. "Sourcing decision under interconnected risks: an application of mean–variance preferences approach," Annals of Operations Research, Springer, vol. 313(2), pages 1243-1268, June.
    7. Han, Lin & Zhao, Xudong & Chen, Zhilong & Wu, Yipeng & Su, Xiaochao & Zhang, Ning, 2021. "Optimal allocation of defensive resources to defend urban power networks against different types of attackers," International Journal of Critical Infrastructure Protection, Elsevier, vol. 35(C).
    8. Hassan Al-Zarooni & Hamdi Bashir, 2020. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1204-1226, December.
    9. Sun, Qin-Ying & Li, Xiang-Yang & Yu, Feng, 2016. "Designing an emergency continuity plan for a megacity government: A conceptual framework for coping with natural catastrophes," International Journal of Critical Infrastructure Protection, Elsevier, vol. 13(C), pages 28-35.

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