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Identification of top contributors to system vulnerability via an ordinal optimization based method

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  • Rocco S., Claudio M.
  • Emmanuel Ramirez-Marquez, José

Abstract

This paper presents a novel approach to identify top contributors to power systems failure when considering cascade failure events. Implementation of this approach can help for a better system understanding to system stakeholders, provide internal and external situational awareness to operators, and help as a diagnostic support tool. Given the few studies that concurrently consider cascade models with models for identifying top contributors to load shed, this paper presents a novel hybrid approach combining an evaluation phase – a cascade model together with an approximate evaluation of the damage induced (in terms of load shed) by a collapse event – and an ordinal optimization perspective, to identify top component failure contributors. The approach is implemented in the Italian high-voltage (380kV) electrical transmission network and results are compared against current topological measures of system vulnerability.

Suggested Citation

  • Rocco S., Claudio M. & Emmanuel Ramirez-Marquez, José, 2013. "Identification of top contributors to system vulnerability via an ordinal optimization based method," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 92-98.
    • Handle: RePEc:eee:reensy:v:114:y:2013:i:c:p:92-98
    DOI: 10.1016/j.ress.2013.01.003
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    References listed on IDEAS

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    1. Rocco S, Claudio M. & Ramirez-Marquez, José Emmanuel, 2009. "Deterministic network interdiction optimization via an evolutionary approach," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 568-576.
    2. Rocco S., Claudio M. & Emmanuel Ramirez-Marquez, José & Salazar A., Daniel E., 2010. "Bi and tri-objective optimization in the deterministic network interdiction problem," Reliability Engineering and System Safety, Elsevier, vol. 95(8), pages 887-896.
    3. A. Farina & A. Graziano & F. Mariani & F. Zirilli, 2008. "Probabilistic Analysis of Failures in Power Transmission Networks and Phase Transitions: Study Case of a High-Voltage Power Transmission Network," Journal of Optimization Theory and Applications, Springer, vol. 139(1), pages 171-199, October.
    4. Eusgeld, Irene & Kröger, Wolfgang & Sansavini, Giovanni & Schläpfer, Markus & Zio, Enrico, 2009. "The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 954-963.
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    Cited by:

    1. Bricha, Naji & Nourelfath, Mustapha, 2014. "Extra-capacity versus protection for supply networks under attack," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 185-196.
    2. Baroud, Hiba & Barker, Kash & Ramirez-Marquez, Jose E. & Rocco S., Claudio M., 2014. "Importance measures for inland waterway network resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 55-67.

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