• DocumentCode
    2790632
  • Title

    Methodologies for inter-dependency assessment

  • Author

    Agostino, Gregorio D. ; Bologna, Sandro ; Fioriti, Vincenzo ; Casalicchi, E. ; Brasca, L. ; Ciapessoni, E. ; Buschi, S.

  • Author_Institution
    Dept. ENEA, UTMEA-CAL, Rome, Italy
  • fYear
    2010
  • fDate
    20-22 Sept. 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    We report on an recent European Project aimed at assessment of suited Methodologies to measure interdependencies between the Electric and the ICT System. Based on best practices and available data, several different metrics have been defined. Depending on the methodology involved, three main types of metrics can be identified; namely “topological”; “system theory based” and “simulation based” metrics. The selected methodologies have been applied to the Roma Area electric and communication system. Results from all the different approaches are discussed. All metrics provide quantitative measures of the inter-dependence between both the two systems and their components. In addition to the established metrics, a novel “spectral” metric has been introduced specific for cascade effects. Such an innovative methodology has also been applied to the US Power Grid and results compared with those from the Roma Area.
  • Keywords
    information technology; power distribution reliability; power system management; telecommunication network management; telecommunication network reliability; telecommunication power supplies; ICT system; electric system; innovative methodology; interdependency assessment; power grid; simulation based metric; system theory based metric; topological; Robustness; Critical Infrastructure; Electric System; ICT; Inter-dependency; Metrics; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Critical Infrastructure (CRIS), 2010 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-8080-7
  • Type

    conf

  • DOI
    10.1109/CRIS.2010.5617578
  • Filename
    5617578