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

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

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Publication Details

Journal
The European Physical Journal B
Published
2024-12-01
DOI
https://doi.org/10.1140/epjb/s10051-024-00837-7
Citations
4
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.12
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article

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

Emile Emery, Hervé Bercegol, Sébastien Aumaître, Nicolas Jonqueres
4 citations
The European Physical Journal B
Complex Network Analysis Techniques
1.12
article

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

Emile Emery, Hervé Bercegol, Sébastien Aumaître, Nicolas Jonqueres
article en
4 citations

Abstract

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

The European Physical Journal BVol. 97(12)
Centre National de la Recherche Scientifique (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), CEA Paris-Saclay (FR), Institut de Recherche sur les Lois Fondamentales de l'Univers (FR)
Affordable and clean energy
Openalex Percentile: Top 22%
Complex Network Analysis Techniques
1.12
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