Some metrics for assessing the vulnerability of complex networks: An application to an electric power system

S. C.M. Rocco, J. E. Ramirez-Marquez, A. D.E. Salazar

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    7 Scopus citations

    Abstract

    In this paper the topological behavior of the Italian electric power network is evaluated. The power system is modeled as a network G of nodes interconnected by links. Its vulnerability is evaluated through the use of some "classical" and recent metrics developed in the literature. These assessments allow managers and policy-makers aim to minimize the vulnerability of such systems to external events such as natural disasters or man-made actions by identifying vulnerable and weak points. The analysis of the network reveals that some metrics (e.g., those related to Basic Connectivity, Spectral Measurements or Spectral Scaling Method) must be considered from a qualitatively point of view. Indeed their numerical values suggest that the network under study could be decoupled in an "easy way". Only Importance and Community metrics allow assessing the reduction of the network vulnerability, for example, by adding new links.

    Original languageEnglish
    Title of host publicationAdvances in Safety, Reliability and Risk Management - Proceedings of the European Safety and Reliability Conference, ESREL 2011
    Pages2556-2561
    Number of pages6
    StatePublished - 2012
    EventEuropean Safety and Reliability Conference: Advances in Safety, Reliability and Risk Management, ESREL 2011 - Troyes, France
    Duration: 18 Sep 201122 Sep 2011

    Publication series

    NameAdvances in Safety, Reliability and Risk Management - Proceedings of the European Safety and Reliability Conference, ESREL 2011

    Conference

    ConferenceEuropean Safety and Reliability Conference: Advances in Safety, Reliability and Risk Management, ESREL 2011
    Country/TerritoryFrance
    CityTroyes
    Period18/09/1122/09/11

    Fingerprint

    Dive into the research topics of 'Some metrics for assessing the vulnerability of complex networks: An application to an electric power system'. Together they form a unique fingerprint.

    Cite this