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Fragmentation of outage clusters during the recovery of power distribution grids

Author

Listed:
  • Hao Wu

    (State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications
    Northeastern University)

  • Xiangyi Meng

    (Northeastern University)

  • Michael M. Danziger

    (Northeastern University)

  • Sean P. Cornelius

    (Ryerson University)

  • Hui Tian

    (State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications)

  • Albert-László Barabási

    (Northeastern University)

Abstract

The understanding of recovery processes in power distribution grids is limited by the lack of realistic outage data, especially large-scale blackout datasets. By analyzing data from three electrical companies across the United States, we find that the recovery duration of an outage is connected with the downtime of its nearby outages and blackout intensity (defined as the peak number of outages during a blackout), but is independent of the number of customers affected. We present a cluster-based recovery framework to analytically characterize the dependence between outages, and interpret the dominant role blackout intensity plays in recovery. The recovery of blackouts is not random and has a universal pattern that is independent of the disruption cause, the post-disaster network structure, and the detailed repair strategy. Our study reveals that suppressing blackout intensity is a promising way to speed up restoration.

Suggested Citation

  • Hao Wu & Xiangyi Meng & Michael M. Danziger & Sean P. Cornelius & Hui Tian & Albert-László Barabási, 2022. "Fragmentation of outage clusters during the recovery of power distribution grids," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35104-9
    DOI: 10.1038/s41467-022-35104-9
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    References listed on IDEAS

    as
    1. Benjamin Schäfer & Dirk Witthaut & Marc Timme & Vito Latora, 2018. "Dynamically induced cascading failures in power grids," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
    2. Kate Anderson, 2020. "When the lights go out," Nature Energy, Nature, vol. 5(3), pages 189-190, March.
    3. Benjamin Schäfer & Dirk Witthaut & Marc Timme & Vito Latora, 2018. "Author Correction: Dynamically induced cascading failures in power grids," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
    4. Michael M. Danziger & Albert-László Barabási, 2022. "Recovery coupling in multilayer networks," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    5. Zhao-Hua Lin & Mi Feng & Ming Tang & Zonghua Liu & Chen Xu & Pak Ming Hui & Ying-Cheng Lai, 2020. "Non-Markovian recovery makes complex networks more resilient against large-scale failures," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    6. Roshanak Nateghi & Seth D. Guikema & Steven M. Quiring, 2011. "Comparison and Validation of Statistical Methods for Predicting Power Outage Durations in the Event of Hurricanes," Risk Analysis, John Wiley & Sons, vol. 31(12), pages 1897-1906, December.
    7. F. Ginot & I. Theurkauff & F. Detcheverry & C. Ybert & C. Cottin-Bizonne, 2018. "Aggregation-fragmentation and individual dynamics of active clusters," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    8. Jichang Zhao & Daqing Li & Hillel Sanhedrai & Reuven Cohen & Shlomo Havlin, 2016. "Spatio-temporal propagation of cascading overload failures in spatially embedded networks," Nature Communications, Nature, vol. 7(1), pages 1-6, April.
    9. Massoud Amin, 2013. "The smart-grid solution," Nature, Nature, vol. 499(7457), pages 145-147, July.
    10. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    11. Chuanyi Ji & Yun Wei & Henry Mei & Jorge Calzada & Matthew Carey & Steve Church & Timothy Hayes & Brian Nugent & Gregory Stella & Matthew Wallace & Joe White & Robert Wilcox, 2016. "Large-scale data analysis of power grid resilience across multiple US service regions," Nature Energy, Nature, vol. 1(5), pages 1-8, May.
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