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The equal load-sharing model of cascade failures in power grids

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  • Scala, Antonio
  • De Sanctis Lucentini, Pier Giorgio

Abstract

Electric power-systems are one of the most important critical infrastructures. In recent years, they have been exposed to extreme stress due to the increasing power demand, the introduction of distributed renewable energy sources, and the development of extensive interconnections. We investigate the phenomenon of abrupt breakdown of an electric power-system under two scenarios: load growth (mimicking the ever-increasing customer demand) and power fluctuations (mimicking the effects of renewable sources). Our results indicate that increasing the system size causes breakdowns to become more abrupt; in fact, mapping the system to a solvable statistical-physics model indicates the occurrence of a first order transition in the large size limit. Such an enhancement for the systemic risk failures (black-outs) with increasing network size is an effect that should be considered in the current projects aiming to integrate national power-grids into “super-grids”.

Suggested Citation

  • Scala, Antonio & De Sanctis Lucentini, Pier Giorgio, 2016. "The equal load-sharing model of cascade failures in power grids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 737-742.
    • Handle: RePEc:eee:phsmap:v:462:y:2016:i:c:p:737-742
    DOI: 10.1016/j.physa.2016.06.034
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Muhammad Murtadha Othman & Nur Ashida Salim & Ismail Musirin, 2017. "Sustainability from the Occurrence of Critical Dynamic Power System Blackout Determined by Using the Stochastic Event Tree Technique," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    2. Kai Gong & Jia-Jian Wu & Ying Liu & Qing Li & Run-Ran Liu & Ming Tang, 2019. "The Effective Healing Strategy against Localized Attacks on Interdependent Spatially Embedded Networks," Complexity, Hindawi, vol. 2019, pages 1-10, May.
    3. Chen, Daqiang & Sun, Danzhi & Yin, Yunqiang & Dhamotharan, Lalitha & Kumar, Ajay & Guo, Yihan, 2022. "The resilience of logistics network against node failures," International Journal of Production Economics, Elsevier, vol. 244(C).
    4. Yang, Qihui & Scoglio, Caterina M. & Gruenbacher, Don M., 2021. "Robustness of supply chain networks against underload cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).

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