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Design for resilience in infrastructure distribution networks

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Abstract

The recognition that resilience is a critical aspect of infrastructure security has caused the national and homeland security communities to ask “How does one ensure infrastructure resilience?” Previous network resilience analysis methods have generally focused on either pre-disruption prevention investments or post-disruption recovery strategies. This paper expands on those methods by introducing a stochastic optimization model for designing network infrastructure resilience that simultaneously considers pre- and post-disruption activities. The model seeks investment–recovery combinations that minimize the overall cost to a distribution network across a set of disruption scenarios. A set of numerical experiments illustrates how changes to disruption scenarios probabilities affect the optimal resilient design investments.

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Acknowledgments

This work was funded by the Sandia National Laboratories Laboratory Directed Research and Development (LDRD) program. Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

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Authors and Affiliations

  1. Sandia National Laboratories, Albuquerque, NM, USA

    Eric Vugrin

  2. Cornell University, Ithaca, NY, USA

    Mark Turnquist

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  1. Mark Turnquist
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  2. Eric Vugrin
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Correspondence to Eric Vugrin.

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Turnquist, M., Vugrin, E. Design for resilience in infrastructure distribution networks. Environ Syst Decis 33, 104–120 (2013). https://doi.org/10.1007/s10669-012-9428-z

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