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The evolution of the topology of high-voltage electricity networks

Author

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  • Lubos Buzna
  • Limor Issacharoff
  • Dirk Helbing

Abstract

The electricity network represents an example of an evolving complex system. The first local networks contained only a few nodes, but within several decades, they have evolved into a highly connected continental system. The growth of these networks was influenced by various factors such as economic, demographic, political and technological developments. In this paper, we analyse the growth of the French 400 kV electricity transmission network from its establishment in 1960 until the year 2000. We study the different topological characteristics that describe the intensity of the growth process, such as the number of nodes, the number of lines, the average node connectivity and the overall length of wires. We compare these results with several economic and demographic indicators in order to identify the factors which correlate with the growth rate of the electricity network. Apart from this, we evaluate how the topological efficiency and vulnerability measures (clustering coefficient, information centrality, betweenness centrality) evolve in the course of time. The decisions regarding the power grid topology are influenced by many, very often contradictory factors, such as costs, the size of the covered area, demand, fault tolerance, reliability and quality of service. Our results yield a deeper insight into the process of Critical Infrastructure (CI) construction.

Suggested Citation

  • Lubos Buzna & Limor Issacharoff & Dirk Helbing, 2009. "The evolution of the topology of high-voltage electricity networks," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 5(1/2), pages 72-85.
    • Handle: RePEc:ids:ijcist:v:5:y:2009:i:1/2:p:72-85
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    Citations

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    Cited by:

    1. Simon Moser & Stefan Puschnigg, 2021. "Supra-Regional District Heating Networks: A Missing Infrastructure for a Sustainable Energy System," Energies, MDPI, vol. 14(12), pages 1-15, June.
    2. Martí Rosas-Casals & Sandro Bologna & Ettore F. Bompard & Gregorio D'Agostino & Wendy Ellens & Giuliano Andrea Pagani & Antonio Scala & Trivik Verma, 2015. "Knowing power grids and understanding complexity science," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 11(1), pages 4-14.
    3. Wang, Shuliang & Hong, Liu & Chen, Xueguang, 2012. "Vulnerability analysis of interdependent infrastructure systems: A methodological framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3323-3335.
    4. 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.
    5. Winkler, James & Dueñas-Osorio, Leonardo & Stein, Robert & Subramanian, Devika, 2010. "Performance assessment of topologically diverse power systems subjected to hurricane events," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 323-336.
    6. Gianluca Fulli & Marcelo Masera & Catalin Felix Covrig & Francesco Profumo & Ettore Bompard & Tao Huang, 2017. "The EU Electricity Security Decision-Analytic Framework: Status and Perspective Developments," Energies, MDPI, vol. 10(4), pages 1-20, March.
    7. Juan José González De la Rosa & José María Sierra-Fernández & José Carlos Palomares-Salas & Agustín Agüera-Pérez & Álvaro Jiménez Montero, 2015. "An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events," Energies, MDPI, vol. 8(9), pages 1-17, September.
    8. Mateusz Iwo Dubaniowski & Hans R. Heinimann, 2020. "A framework for modeling interdependencies among households, businesses, and infrastructure systems; and their response to disruptions," Papers 2006.05678, arXiv.org.

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