Comparing Topological and Physical Approaches to Network Modeling for the Optimization of Failure-Resilient Electrical Infrastructures

Abstract : Large scale outages on critical infrastructures (CIs) resulting from small initial failures, although infrequent, are increasingly disastrous to society; thus, it's imperative to optimally design these systems in order to maximize their resilience against cascading failure. The optimization task requires the understanding and modelling of the dynamics of these systems. In this paper, we consider two approaches to infrastructure modelling: (i) a simplified (computationally cheap) graph-theoretical (topological) approach based on network theory; (ii) a realistic (computationally intensive) physical approach based on power flow models. The objective of the work is to investigate whether the optimal network obtained using a simplified topological model is also physically optimal when a more realistic power flow model is embraced. This is performed through simulations on the 400kV French power transmission network. A discussion of the usefulness of topological models to study the dynamics of cascading failures in electrical infrastructures is also contributed.
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ICVRAM & ISUMA 2014, Jul 2014, Liverpool, United Kingdom. Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management & the 6th International Symposium on Uncertainty Modelling and Analysis, pp.725 - 735, 2014, 〈10.1061/9780784413609.074〉
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Yi-Ping Fang, Nicola Pedroni, Enrico Zio. Comparing Topological and Physical Approaches to Network Modeling for the Optimization of Failure-Resilient Electrical Infrastructures. ICVRAM & ISUMA 2014, Jul 2014, Liverpool, United Kingdom. Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management & the 6th International Symposium on Uncertainty Modelling and Analysis, pp.725 - 735, 2014, 〈10.1061/9780784413609.074〉. 〈hal-01108227〉

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