Vulnerability of critical infrastructures : identifying critical nodes.

Cox, Roger Gary; Robinson, David G.

doi:10.2172/919120

2004

DOI: 10.2172/919120

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Vulnerability of critical infrastructures : identifying critical nodes.

Roger Gary Cox¹,

David G. Robinson²

Abstract: The objective of this research was the development of tools and techniques for the identification of critical nodes within critical infrastructures. These are nodes that, if disrupted through natural events or terrorist action, would cause the most widespread, immediate damage.

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References 102 publications

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Reliability analysis of bulk power systems using swarm intelligence

Robinson¹

Annual Reliability and Maintainability Symposium, 2005. Proceedings.

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SUMMARY & CONCLUSIONSThis paper documents research into the use of an adaptive cultural model and collective intelligence as a means of characterizing the reliability of bulk power networks. Historically, utilities support the reliable design and operation of bulk power networks through first-order contingency analysis. In contingency analyses the list of candidate elements for disruption are identified by engineers a priori based on the rate at which the elements failure through the course of normal grid operation.The new method, an implementation of particle swarm analysis, a swarm of 'virtual power engineers' successfully identified the set of network elements which, if disrupted, would possibly lead to a cascading series of events resulting in the most wide spread damage. The methodology is technology independent: it can be applied on not only for reliability analysis of bulk power systems, but also other energy systems or transportation systems. The methodology is scale neutral: it can be applied to power distribution networks at the local, state or regional level.

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Reliability analysis of bulk power systems using swarm intelligence

Robinson¹

Annual Reliability and Maintainability Symposium, 2005. Proceedings.

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Vulnerability of critical infrastructures : identifying critical nodes.

Abstract: The objective of this research was the development of tools and techniques for the identification of critical nodes within critical infrastructures. These are nodes that, if disrupted through natural events or terrorist action, would cause the most widespread, immediate damage.

Cited by 1 publication

References 102 publications

Reliability analysis of bulk power systems using swarm intelligence

Reliability analysis of bulk power systems using swarm intelligence

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