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Resilience Assessment in Distribution Grids: A Complete Simulation Model

Author

Listed:
  • Massimo Cresta

    (TDE—Terni Distribuzione Elettrica, Productivity Unit of ASM Terni S.p.A., 05100 Terni, Italy)

  • Fabio Massimo Gatta

    (Department of Astronautics, Electric and Energy Engineering, “Sapienza” University of Rome, 00184 Rome, Italy)

  • Alberto Geri

    (Department of Astronautics, Electric and Energy Engineering, “Sapienza” University of Rome, 00184 Rome, Italy)

  • Marco Maccioni

    (Department of Astronautics, Electric and Energy Engineering, “Sapienza” University of Rome, 00184 Rome, Italy)

  • Marco Paulucci

    (TDE—Terni Distribuzione Elettrica, Productivity Unit of ASM Terni S.p.A., 05100 Terni, Italy)

Abstract

For several years, the increase of extreme meteorological events due to climate change, especially in unusual areas, has focused authorities and stakeholders attention on electric power systems’ resilience. In this context, the authors have developed a simulation model for managing the resilience of electricity distribution grids with respect to the main threats to which these infrastructures may be exposed (i.e., ice sleeves, heat waves, water bombs, floods, tree falls). The simulator identifies the more vulnerable network assets by means of probabilistic indexes, thus suggesting the best corrective actions to be implemented for resilience improvement. The fulfillment of grid constraints, i.e., loading limits for branches and voltage limits for buses, under actual operating conditions, is taken into account. Load scenarios extracted from available measurements are evaluated by means of load flow analyses in order to choose, among the best solutions identified, those compatible with the constraints. The proposed tool can assist Distribution System Operators (DSOs) in drawing up the Action Plan to improve, on one hand, the resilience of the network and, on the other hand, to remove any possible limitation for the adoption of the best solutions to ensure maximum operational continuity during extreme weather events.

Suggested Citation

  • Massimo Cresta & Fabio Massimo Gatta & Alberto Geri & Marco Maccioni & Marco Paulucci, 2021. "Resilience Assessment in Distribution Grids: A Complete Simulation Model," Energies, MDPI, vol. 14(14), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4303-:d:595880
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    References listed on IDEAS

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    1. Alexis Kwasinski, 2016. "Quantitative Model and Metrics of Electrical Grids’ Resilience Evaluated at a Power Distribution Level," Energies, MDPI, vol. 9(2), pages 1-27, February.
    2. Kim, Dong Hwan & Eisenberg, Daniel A. & Chun, Yeong Han & Park, Jeryang, 2017. "Network topology and resilience analysis of South Korean power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 13-24.
    3. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    4. Tommaso Bragatto & Massimo Cresta & Fabrizio Cortesi & Fabio Massimo Gatta & Alberto Geri & Marco Maccioni & Marco Paulucci, 2019. "Assessment and Possible Solution to Increase Resilience: Flooding Threats in Terni Distribution Grid," Energies, MDPI, vol. 12(4), pages 1-13, February.
    5. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
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    Cited by:

    1. Ziyi Wang & Zengqiao Chen & Cuiping Ma & Ronald Wennersten & Qie Sun, 2022. "Nationwide Evaluation of Urban Energy System Resilience in China Using a Comprehensive Index Method," Sustainability, MDPI, vol. 14(4), pages 1-36, February.

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