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A complex network approach for identifying vulnerabilities of the medium and low voltage grid

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  • Giuliano Andrea Pagani
  • Marco Aiello

Abstract

The vision behind the smart grid promises, among other things, to bring more attention to the lower layers of the distribution network where users are gradually transforming into prosumers. Independent of this transformation, users will expect the same (or higher) level of reliability of the infrastructure. In this paper, we consider physical samples from the Dutch medium and low voltage network and we perform a topological analysis to assess their robustness. We also analyse the robustness of synthetic topologies from the literature on complex network analysis. We note how certain topologies are more robust than others and how a small increase in network average connectivity can highly improve the resilience of the distribution grid against random and targeted attacks.

Suggested Citation

  • Giuliano Andrea Pagani & Marco Aiello, 2015. "A complex network approach for identifying vulnerabilities of the medium and low voltage grid," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 11(1), pages 36-61.
  • Handle: RePEc:ids:ijcist:v:11:y:2015:i:1:p:36-61
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    References listed on IDEAS

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    Cited by:

    1. Forsberg, Samuel & Thomas, Karin & Bergkvist, Mikael, 2023. "Power grid vulnerability analysis using complex network theory: A topological study of the Nordic transmission grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    2. Abedi, Amin & Gaudard, Ludovic & Romerio, Franco, 2019. "Review of major approaches to analyze vulnerability in power system," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 153-172.
    3. Lucas Cuadra & Miguel Del Pino & José Carlos Nieto-Borge & Sancho Salcedo-Sanz, 2017. "Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms," Energies, MDPI, vol. 10(8), pages 1-31, July.
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    5. Lucas Cuadra & Sancho Salcedo-Sanz & Javier Del Ser & Silvia Jiménez-Fernández & Zong Woo Geem, 2015. "A Critical Review of Robustness in Power Grids Using Complex Networks Concepts," Energies, MDPI, vol. 8(9), pages 1-55, August.
    6. Rocchetta, Roberto, 2022. "Enhancing the resilience of critical infrastructures: Statistical analysis of power grid spectral clustering and post-contingency vulnerability metrics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).

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