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Definition, implementation and application of a model-based framework for analyzing interdependencies in electric power systems

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  • Chiaradonna, Silvano
  • Giandomenico, Felicita Di
  • Lollini, Paolo

Abstract

Electric power systems are prominent representatives of the critical infrastructure. Existing electric power systems are composed by two cooperating infrastructures: the electric infrastructure, which is responsible for electricity generation and electricity transmission to customers; and information technology based control systems that monitor and control the physical parameters of the electric infrastructure and trigger appropriate reconfigurations in emergency situations. The interactions between these two cooperating infrastructures must be carefully analyzed to understand and characterize their (inter)dependencies, i.e., how the state of one infrastructure influences or is correlated to the state of the other.

Suggested Citation

  • Chiaradonna, Silvano & Giandomenico, Felicita Di & Lollini, Paolo, 2011. "Definition, implementation and application of a model-based framework for analyzing interdependencies in electric power systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 4(1), pages 24-40.
    • Handle: RePEc:eee:ijocip:v:4:y:2011:i:1:p:24-40
    DOI: 10.1016/j.ijcip.2011.03.001
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    References listed on IDEAS

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    1. V. Rosato & L. Issacharoff & F. Tiriticco & S. Meloni & S. De Porcellinis & R. Setola, 2008. "Modelling interdependent infrastructures using interacting dynamical models," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(1/2), pages 63-79.
    2. Benoit Robert & Renaud De Calan & Luciano Morabito, 2008. "Modelling interdependencies among critical infrastructures," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(4), pages 392-408.
    3. Walter Schmitz, 2009. "Simulation experiments: the emerging instruments for CIP," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 5(1/2), pages 5-23.
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    Cited by:

    1. Singh, Abhishek Narain & Gupta, M.P. & Ojha, Amitabh, 2014. "Identifying critical infrastructure sectors and their dependencies: An Indian scenario," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(2), pages 71-85.
    2. Beccuti, Marco & Chiaradonna, Silvano & Di Giandomenico, Felicita & Donatelli, Susanna & Dondossola, Giovanna & Franceschinis, Giuliana, 2012. "Quantification of dependencies between electrical and information infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 5(1), pages 14-27.
    3. Curnin, Steven, 2018. "Collaboration in disasters: A cultural challenge for the utilities sector," Utilities Policy, Elsevier, vol. 54(C), pages 78-85.
    4. Rehak, David & Senovsky, Pavel & Hromada, Martin & Lovecek, Tomas & Novotny, Petr, 2018. "Cascading Impact Assessment in a Critical Infrastructure System," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 125-138.
    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. 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.
    7. Armbruster, Ginger & Endicott-Popovsky, Barbara & Whittington, Jan, 2013. "Threats to municipal information systems posed by aging infrastructure," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(3), pages 123-131.
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    9. 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.

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