IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i9p2272-d166443.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/9/2272/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/9/2272/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexis Kwasinski, 2016. "Quantitative Model and Metrics of Electrical Grids’ Resilience Evaluated at a Power Distribution Level," Energies, MDPI, vol. 9(2), pages 1-27, February.
    2. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    3. Gang Liu & Deming Guo & Pengyu Wang & Honglei Deng & Xiaobin Hong & Wenhu Tang, 2018. "Calculation of Equivalent Resistance for Ground Wires Twined with Armor Rods in Contact Terminals," Energies, MDPI, vol. 11(4), pages 1-24, March.
    4. Xiaomin Xu & Dongxiao Niu & Lihui Zhang & Yongli Wang & Keke Wang, 2017. "Ice Cover Prediction of a Power Grid Transmission Line Based on Two-Stage Data Processing and Adaptive Support Vector Machine Optimized by Genetic Tabu Search," Energies, MDPI, vol. 10(11), pages 1-18, November.
    5. Nobuo Mimura & Kazuya Yasuhara & Seiki Kawagoe & Hiromune Yokoki & So Kazama, 2011. "Damage from the Great East Japan Earthquake and Tsunami - A quick report," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 16(7), pages 803-818, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jasiūnas, Justinas & Lund, Peter D. & Mikkola, Jani, 2021. "Energy system resilience – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    2. Jufri, Fauzan Hanif & Widiputra, Victor & Jung, Jaesung, 2019. "State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies," Applied Energy, Elsevier, vol. 239(C), pages 1049-1065.
    3. Yao He & Yongchun Yang & Meimei Wang & Xudong Zhang, 2022. "Resilience Analysis of Container Port Shipping Network Structure: The Case of China," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    4. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    5. Steven M. Polunsky, 2017. "Homeland security and Texas’ high-speed rail," Journal of Transportation Security, Springer, vol. 10(3), pages 73-86, December.
    6. Hiroyuki Torita & Norio Tanaka, 2019. "Evaluation of the resistance of coastal Pinus thunbergii Parlat. forests to the tsunami fluid force in Japan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(3), pages 1141-1152, April.
    7. Masahiro Shoji & Yoko Takafuji & Tetsuya Harada, 2020. "Formal education and disaster response of children: evidence from coastal villages in Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(2), pages 2183-2205, September.
    8. Norio Tanaka & Junji Yagisawa & Satoshi Yasuda, 2013. "Breaking pattern and critical breaking condition of Japanese pine trees on coastal sand dunes in huge tsunami caused by Great East Japan Earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 423-442, January.
    9. Fumio Ohtake & Katsunori Yamada, 2013. "Appraising the Unhappiness due to the Great East Japan Earthquake: Evidence from Weekly Panel Data on Subjective Well-being," ISER Discussion Paper 0876, Institute of Social and Economic Research, Osaka University.
    10. Karina Landeros-Mugica & Javier Urbina-Soria & Irasema Alcántara-Ayala, 2016. "The good, the bad and the ugly: on the interactions among experience, exposure and commitment with reference to landslide risk perception in México," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1515-1537, February.
    11. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    12. Younesi, Abdollah & Shayeghi, Hossein & Wang, Zongjie & Siano, Pierluigi & Mehrizi-Sani, Ali & Safari, Amin, 2022. "Trends in modern power systems resilience: State-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    13. Steven Way & Yufei Yuan, 2014. "Transitioning From Dynamic Decision Support to Context-Aware Multi-Party Coordination: A Case for Emergency Response," Group Decision and Negotiation, Springer, vol. 23(4), pages 649-672, July.
    14. Sarah Hall & Jessica Pettersson & William Meservy & Ron Harris & Diannitta Agustinawati & Jennie Olson & Allayna McFarlane, 2017. "Awareness of tsunami natural warning signs and intended evacuation behaviors in Java, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(1), pages 473-496, October.
    15. K. D. C. R. Dissanayaka & Norio Tanaka & T. L. C. Vinodh, 2022. "Integration of Eco-DRR and hybrid defense system on mitigation of natural disasters (Tsunami and Coastal Flooding): a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(1), pages 1-28, January.
    16. Liu, Bingsheng & Sheu, Jiuh-Biing & Zhao, Xue & Chen, Yuan & Zhang, Wei, 2020. "Decision making on post-disaster rescue routing problems from the rescue efficiency perspective," European Journal of Operational Research, Elsevier, vol. 286(1), pages 321-335.
    17. Hanif, Sarmad & Mukherjee, Monish & Poudel, Shiva & Yu, Min Gyung & Jinsiwale, Rohit A. & Hardy, Trevor D. & Reeve, Hayden M., 2023. "Analyzing at-scale distribution grid response to extreme temperatures," Applied Energy, Elsevier, vol. 337(C).
    18. Younesi, Abdollah & Shayeghi, Hossein & Safari, Amin & Siano, Pierluigi, 2020. "Assessing the resilience of multi microgrid based widespread power systems against natural disasters using Monte Carlo Simulation," Energy, Elsevier, vol. 207(C).
    19. Tiedmann, Helena R. & Faust, Kasey M. & Sela, Lina, 2024. "Looking beyond individual failures: A system-wide assessment of water infrastructure resilience to extreme events," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    20. Caruso, Germán Daniel, 2017. "The legacy of natural disasters: The intergenerational impact of 100 years of disasters in Latin America," Journal of Development Economics, Elsevier, vol. 127(C), pages 209-233.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2272-:d:166443. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.