Impact of Functional Models in a Decision Context of Critical Infrastructure Vulnerability Reduction

Critical infrastructures provide essential services for the functioning of the society, and vulnerability analysis is an important basis for decisions concerning increasing their robustness against hazards and threats. Since critical infrastructures can be regarded as complex systems, such analyses can prove challenging. To analyze the system response to strains, several different functional models have been suggested in the scientific literature, ranging from simple topological to more advanced engineering models. The simple models are computationally less burdensome which enables more comprehensive vulnerability analyses. The downside, however, is that they may not describe system performance accurately enough. The advanced engineering models, on the other hand, capture the system performance more accurately, but are computationally burdensome which leads to less comprehensive analyses. In the present paper, ten different functional models are used to assess the vulnerability of the IEEE RTS96 transmission power test system. The results from these analyses are then used in two decision contexts - (1) identification of critical components; and (2) ranking of structural improvements - to study to what extent the models provide a good decision support. The results suggest that the use of functional models significantly impacts the decision and, hence, care should be taken when choosing which functional model to use as a basis for decisions of critical infrastructure improvements.


  • English

Media Info

  • Media Type: Web
  • Pagination: pp 577-586
  • Monograph Title: Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management

Subject/Index Terms

Filing Info

  • Accession Number: 01532715
  • Record Type: Publication
  • ISBN: 9780784413609
  • Files: TRIS, ASCE
  • Created Date: Jul 7 2014 3:01PM