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International Conference on Critical Information Infrastructures Security

CRITIS 2017: Critical Information Infrastructures Security pp 1–12Cite as

Resilience of Electrical Distribution Systems with Critical Load Prioritization

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10707))

Abstract

In the highly interdependent environment of a large city, failures in the electrical distribution system can cause direct or indirect consequences to other critical infrastructures and to the Human Well-being Level (HWL) of the citizens. This paper discusses the electrical distribution system in terms of how topological reconfiguration, together with prioritized system recovery can maintain a high level of Human Well-being resilience during system failures. The Infrastructure Interdependencies Simulator (i2SIM) is used to prioritize load restoration and load shedding algorithms. To validate the proposed approach, spanning tree search algorithms, load shedding schemes and optimization methods are applied to find optimal restoration strategies on a standard IEEE 30-node system and on a 70-node distribution system with critical loads.

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Authors and Affiliations

  1. The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada

    Zejun Yang & Jose R. Marti

Authors
  1. Zejun Yang
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  2. Jose R. Marti
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Correspondence to Jose R. Marti .

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Editors and Affiliations

  1. ENEA “Casaccia” and Network of Networks - Netonets, Rome, Italy

    Gregorio D'Agostino

  2. CNR - Institute for Complex Systems (ISC), Rome, Italy

    Antonio Scala

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Yang, Z., Marti, J.R. (2018). Resilience of Electrical Distribution Systems with Critical Load Prioritization. In: D'Agostino, G., Scala, A. (eds) Critical Information Infrastructures Security. CRITIS 2017. Lecture Notes in Computer Science(), vol 10707. Springer, Cham. https://doi.org/10.1007/978-3-319-99843-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-99843-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99842-8

  • Online ISBN: 978-3-319-99843-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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