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Impact of transmission tower-line interaction to the bulk power system during hurricane

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  • Xue, Jiayue
  • Mohammadi, Farshad
  • Li, Xin
  • Sahraei-Ardakani, Mostafa
  • Ou, Ge
  • Pu, Zhaoxia

Abstract

A Hurricane is a severe weather event that has caused massive blackouts in the United States. Previous studies about a hurricane's impact on the power system were mainly conducted through statistical analysis. However, there is limited research that reveals the physical law governing power outage and system-level performance. Therefore, this paper investigates the impact of transmission tower damage and failure on the performance of the power transmission network during a hurricane. To translate meteorological information to the input of the abstract power network, a fragility model of a transmission tower-line considering the coupling effect is developed. The computational efficiency in the fragility analysis is enhanced by wind speed convention and sample size selection. The effectiveness of the fragility model is investigated in a benchmark problem, which evaluates the performance of a synthetic transmission system (Texas 2000-bus power network) during Hurricane Harvey. The promising results indicate that: (1) from both the element and system level, the coupling effect between the transmission tower-line system is not negligible; (2) the computational efficiency of the fragility analysis can be significantly improved by wind speed conversion and sample size selection; (3) considering the tower-line interaction, the estimated damage to the power system matches the recorded damage from Hurricane Harvey.

Suggested Citation

  • Xue, Jiayue & Mohammadi, Farshad & Li, Xin & Sahraei-Ardakani, Mostafa & Ou, Ge & Pu, Zhaoxia, 2020. "Impact of transmission tower-line interaction to the bulk power system during hurricane," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:reensy:v:203:y:2020:i:c:s0951832020305809
    DOI: 10.1016/j.ress.2020.107079
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    6. Julian Stürmer & Anton Plietzsch & Thomas Vogt & Frank Hellmann & Jürgen Kurths & Christian Otto & Katja Frieler & Mehrnaz Anvari, 2024. "Increasing the resilience of the Texas power grid against extreme storms by hardening critical lines," Nature Energy, Nature, vol. 9(5), pages 526-535, May.
    7. Jalilpoor, Kamran & Oshnoei, Arman & Mohammadi-Ivatloo, Behnam & Anvari-Moghaddam, Amjad, 2022. "Network hardening and optimal placement of microgrids to improve transmission system resilience: A two-stage linear program," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    8. Ma, Liyang & Christou, Vasileios & Bocchini, Paolo, 2022. "Framework for probabilistic simulation of power transmission network performance under hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
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    11. Huang, Xiubing & Wang, Naiyu, 2024. "An adaptive nested dynamic downscaling strategy of wind-field for real-time risk forecast of power transmission systems during tropical cyclones," Reliability Engineering and System Safety, Elsevier, vol. 242(C).

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