A Non-Parametric Aggregation Technique for Identifying Critical Nodes in a Network, Using Three Topology-Based Cascade Models

Claudio M. Rocco, José E. Ramirez-Marquez, César Yajure

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

    3 Scopus citations

    Abstract

    Several approaches have been used for assessing the importance of network components during an outage. For example, indicators based on network topology, such as node/links betweeness, allow ranking components from the most to the least important. Such models, however, do not consider specific aspects associated with network components outages that may trigger additional events. For example, the outage of a transmission line in an electric power system could produce a redistribution of the power flow and cause overload in nearby lines. To cope with such effects, several cascade models have been presented in the literature. These models, based on different assumptions, could produce different importance rankings. In this paper, ranks of components derived from three simple cascade models are combined through a non-parametric technique and are able to produce a unique ranking without considering decision-maker preferences. A version of the Italian high voltage power grid illustrates the proposed approach.

    Original languageEnglish
    Title of host publicationVulnerability, Uncertainty, and Risk
    Subtitle of host publicationQuantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
    EditorsJim W. Hall, Siu-Kui Au, Michael Beer
    Pages668-676
    Number of pages9
    ISBN (Electronic)9780784413609
    DOIs
    StatePublished - 2014
    Event2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 - Liverpool, United Kingdom
    Duration: 13 Jul 201416 Jul 2014

    Publication series

    NameVulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014

    Conference

    Conference2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
    Country/TerritoryUnited Kingdom
    CityLiverpool
    Period13/07/1416/07/14

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