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Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems

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  • Jiazheng Lu

    (State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment, Changsha 410129, China
    State Grid Hunan Electric Company Limited Disaster Prevention and Reduction Center, Changsha 410129, China)

  • Jun Guo

    (State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment, Changsha 410129, China
    State Grid Hunan Electric Company Limited Disaster Prevention and Reduction Center, Changsha 410129, China)

  • Zhou Jian

    (State Key Laboratory of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment, Changsha 410129, China
    State Grid Hunan Electric Company Limited Disaster Prevention and Reduction Center, Changsha 410129, China)

  • Yihao Yang

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

  • Wenhu Tang

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

Abstract

Ice disasters have frequently occurred worldwide in recent years, which seriously affected power transmission system operations. To improve the resilience of power grids and minimize economic losses, this paper proposes a framework for assessing the influence of ice disasters on the resilience of power transmission systems. This method considers the spatial–temporal impact of ice disasters on the resilience of power transmission systems, and the contingence set for risk assessment is established according to contingency probabilities. Based on meteorological data, the outage models of power transmission components are developed in the form of generic fragility curves, and the ice load is given by a simplified freezing rain ice model. A cell partition method is adopted to analyze the way ice disasters affect the operation of power transmission systems. The sequential Monte Carlo simulation method is used to assess resilience for capturing the stochastic impact of ice disasters and deriving the contingency set. Finally, the IEEE RTS-79 system is employed to investigate the impact of ice disasters by two case studies, which demonstrate the viability and effectiveness of the proposed framework. In turn, the results help recognize the resilience of the system under such disasters and the effects of different resilience enhancement measures.

Suggested Citation

  • Jiazheng Lu & Jun Guo & Zhou Jian & Yihao Yang & Wenhu Tang, 2018. "Resilience Assessment and Its Enhancement in Tackling Adverse Impact of Ice Disasters for Power Transmission Systems," Energies, MDPI, vol. 11(9), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2272-:d:166443
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    References listed on IDEAS

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    Cited by:

    1. Zhiwei Wang & Xiao Ma & Song Gao & Changjiang Wang & Shuguang Li, 2023. "Impact of the Operation of Distribution Systems on the Resilience Assessment of Transmission Systems under Ice Disasters," Energies, MDPI, vol. 16(9), pages 1-27, April.
    2. Guolin Yang & Yi Liao & Xingliang Jiang & Xiangshuai Han & Jiangyi Ding & Yu Chen & Xingbo Han & Zhijin Zhang, 2022. "Research on Value-Seeking Calculation Method of Icing Environmental Parameters Based on Four Rotating Cylinders Array," Energies, MDPI, vol. 15(19), pages 1-17, October.
    3. Huaizhi Wang & Xian Zhang & Qing Li & Guibin Wang & Hui Jiang & Jianchun Peng, 2018. "Recursive Method for Distribution System Reliability Evaluation," Energies, MDPI, vol. 11(10), pages 1-15, October.
    4. Adriana Mar & Pedro Pereira & João F. Martins, 2019. "A Survey on Power Grid Faults and Their Origins: A Contribution to Improving Power Grid Resilience," Energies, MDPI, vol. 12(24), pages 1-21, December.
    5. Wang, Chong & Ju, Ping & Wu, Feng & Pan, Xueping & Wang, Zhaoyu, 2022. "A systematic review on power system resilience from the perspective of generation, network, and load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    6. Jun Guo & Tao Feng & Zelin Cai & Xianglong Lian & Wenhu Tang, 2020. "Vulnerability Assessment for Power Transmission Lines under Typhoon Weather Based on a Cascading Failure State Transition Diagram," Energies, MDPI, vol. 13(14), pages 1-15, July.
    7. Bao, Minglei & Ding, Yi & Sang, Maosheng & Li, Daqing & Shao, Changzheng & Yan, Jinyue, 2020. "Modeling and evaluating nodal resilience of multi-energy systems under windstorms," Applied Energy, Elsevier, vol. 270(C).

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