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Robustness analysis of electricity networks against failure or attack: The case of the Australian National Electricity Market (NEM)

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  • Wang, Wensheng
  • Karimi, Faezeh
  • Khalilpour, Kaveh
  • Green, David
  • Varvarigos, Manos

Abstract

This study explores network science algorithms for the robustness analysis of electricity networks. We first investigate the characteristics of key network models including random graphs, small-world, and scale-free networks. Then, various measures are explored for the robustness of such networks against failure or attack, utilizing topological features and percolation theory. Both weighted and unweighted scenarios are studied, with network voltage considered as the edge weight. For a case study, we investigate the network characteristics as well as the robustness of the Australian National Electricity Market (NEM) network on the basis of these models and theories.

Suggested Citation

  • Wang, Wensheng & Karimi, Faezeh & Khalilpour, Kaveh & Green, David & Varvarigos, Manos, 2023. "Robustness analysis of electricity networks against failure or attack: The case of the Australian National Electricity Market (NEM)," International Journal of Critical Infrastructure Protection, Elsevier, vol. 41(C).
    • Handle: RePEc:eee:ijocip:v:41:y:2023:i:c:s1874548223000136
    DOI: 10.1016/j.ijcip.2023.100600
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    References listed on IDEAS

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    Cited by:

    1. Zhang, Yushuai & Ren, Wangjun & Feng, Jinji & Zhao, Jian & Chen, Yicun & Mi, Yongtao, 2024. "A cascading failure propagation model for a network with a node emergency recovery function," Applied Energy, Elsevier, vol. 371(C).
    2. Song, Zhiting & Zhu, Jianhua & Chen, Kun, 2025. "Robustness analysis of smart manufacturing systems against resource failures: A two-layered network perspective," Reliability Engineering and System Safety, Elsevier, vol. 253(C).

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