IDEAS home Printed from https://ideas.repec.org/a/spr/eurphb/v97y2024i12d10.1140_epjb_s10051-024-00837-7.html
   My bibliography  Save this article

Complex network analysis of transmission networks preparing for the energy transition: application to the current French power grid

Author

Listed:
  • Emile Emery

    (Université Paris-Saclay, CEA, CNRS)

  • Hervé Bercegol

    (Université Paris-Saclay, CEA, CNRS)

  • Nicolas Jonqueres

    (Université Paris-Saclay, CEA, IRFU)

  • Sébastien Aumaître

    (Université Paris-Saclay, CEA, CNRS)

Abstract

The worldwide process of replacing fossil fuels with low-carbon energy sources is underway. Existing energy networks are expected to be deeply modified in nature and structure during this transition. This work uses graph-theoretical statistical physics tools to analyze topology and structural changes of power grids, with the French grid as a case study. We discuss the small-world model to define an optimality criterion, the construction of a graph model for the French high-voltage transmission grid, and the development of a growth model to study the dynamics of such networks. The main result of our project suggests that the high efficiency level in the current French network is due to a high-voltage mesh interconnecting thermal power plants. Since implementing low-power-density renewable energy sources would imply non-trivial adjustments to maintain features, such as efficiency and robustness, these considerations must be added to economic and energetic assessments of transition scenarios. Graphic Abstract

Suggested Citation

  • Emile Emery & Hervé Bercegol & Nicolas Jonqueres & Sébastien Aumaître, 2024. "Complex network analysis of transmission networks preparing for the energy transition: application to the current French power grid," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 97(12), pages 1-15, December.
  • Handle: RePEc:spr:eurphb:v:97:y:2024:i:12:d:10.1140_epjb_s10051-024-00837-7
    DOI: 10.1140/epjb/s10051-024-00837-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1140/epjb/s10051-024-00837-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1140/epjb/s10051-024-00837-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Mohammad Zaher Serdar & Sami G. Al-Ghamdi, 2021. "Resiliency Assessment of Road Networks during Mega Sport Events: The Case of FIFA World Cup Qatar 2022," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    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.
    4. 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).
    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. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eurphb:v:97:y:2024:i:12:d:10.1140_epjb_s10051-024-00837-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.