IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v86y2017i1d10.1007_s11069-016-2682-5.html
   My bibliography  Save this article

Analysis of ice disasters on ultra-high-voltage direct-current transmission lines

Author

Listed:
  • Jiazheng Lu

    (State Grid Hunan Electric Company Disaster Prevention and Reduction Center)

  • Jun Guo

    (State Grid Hunan Electric Company Disaster Prevention and Reduction Center)

  • Jianping Hu

    (State Grid Hunan Electric Company Disaster Prevention and Reduction Center)

  • Li Yang

    (State Grid Hunan Electric Company Disaster Prevention and Reduction Center)

  • Tao Feng

    (State Grid Hunan Electric Company Disaster Prevention and Reduction Center)

Abstract

Ice disaster is one of the biggest natural disasters posing great threat to the safe operation of power grid. With the construction and operation of ultra-high-voltage direct-current (UHVDC) Transmission Project, it is urgent to carry out research on ice-coating and ice-melting of large-section current-carrying conductors to provide technical support for the safe operation of UHVDC transmission project. Researchers have made a large amount of research on small-section conductors. However, these research results for small-section conductors cannot be applied to large-section conductors. Thus, our research team carries out the research on ice-coating and ice-melting of large-section current-carrying conductors under artificial conditions. The typical large-section current-carrying conductor LGJ-630/55 is employed to analyze the ice-coating and ice-melting characteristics of large-section current-carrying conductors with some main factors, including wind, precipitation, temperature, current, and so on. Based on the experiments’ results, we have arrived at several rules of ice-coating and ice-melting of large-section current-carrying conductors. Meanwhile, an improved Ice-melting Model taking account Heat Exchange and Gravity (IMHEG) is proposed in this paper. This IMHEG model is verified to be more proper than the traditional ice-melting model, and can be a useful model for practical application.

Suggested Citation

  • Jiazheng Lu & Jun Guo & Jianping Hu & Li Yang & Tao Feng, 2017. "Analysis of ice disasters on ultra-high-voltage direct-current transmission lines," 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. 86(1), pages 203-217, March.
    • Handle: RePEc:spr:nathaz:v:86:y:2017:i:1:d:10.1007_s11069-016-2682-5
    DOI: 10.1007/s11069-016-2682-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-016-2682-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-016-2682-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stephanie E. Chang & Timothy L. McDaniels & Joey Mikawoz & Krista Peterson, 2007. "Infrastructure failure interdependencies in extreme events: power outage consequences in the 1998 Ice Storm," 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. 41(2), pages 337-358, May.
    2. Guizhi Wang & Lingyan Wu & Jibo Chen, 2016. "Intensity and economic loss assessment of the snow, low-temperature and frost disasters: a case study of Beijing City," 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. 84(1), pages 293-307, 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. Hualong Zheng & Yizhang Wang & Dexin Xie & Zhijin Zhang & Xingliang Jiang, 2024. "Analysis of Solar Radiation Differences for High-Voltage Transmission Lines on Micro-Terrain Areas," Energies, MDPI, vol. 17(7), pages 1-16, April.
    2. Hao Pan & Fangrong Zhou & Yi Ma & Yutang Ma & Ping Qiu & Jun Guo, 2024. "Multiple Factors Coupling Probability Calculation Model of Transmission Line Ice-Shedding," Energies, MDPI, vol. 17(5), pages 1-24, March.

    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. Dunn, Laurel N. & Sohn, Michael D. & LaCommare, Kristina Hamachi & Eto, Joseph H., 2019. "Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability," Energy Policy, Elsevier, vol. 129(C), pages 206-214.
    2. Federico Antonello & Piero Baraldi & Enrico Zio & Luigi Serio, 2022. "A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures," Environment Systems and Decisions, Springer, vol. 42(3), pages 436-449, September.
    3. Monsalve, Mauricio & de la Llera, Juan Carlos, 2019. "Data-driven estimation of interdependencies and restoration of infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 167-180.
    4. Liu, Huan & Tatano, Hirokazu & Pflug, Georg & Hochrainer-Stigler, Stefan, 2021. "Post-disaster recovery in industrial sectors: A Markov process analysis of multiple lifeline disruptions," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    5. Mühlhofer, Evelyn & Koks, Elco E. & Kropf, Chahan M. & Sansavini, Giovanni & Bresch, David N., 2023. "A generalized natural hazard risk modelling framework for infrastructure failure cascades," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    6. Arvidsson, Björn & Johansson, Jonas & Guldåker, Nicklas, 2021. "Critical infrastructure, geographical information science and risk governance: A systematic cross-field review," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    7. Paul Maliszewski & Elisabeth Larson & Charles Perrings, 2013. "Valuing the Reliability of the Electrical Power Infrastructure: A Two-stage Hedonic Approach," Urban Studies, Urban Studies Journal Limited, vol. 50(1), pages 72-87, January.
    8. Juyeong Choi & Abhijeet Deshmukh & Nader Naderpajouh & Makarand Hastak, 2017. "Dynamic relationship between functional stress and strain capacity of post-disaster infrastructure," 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. 87(2), pages 817-841, June.
    9. Zhang, Yanlu & Yang, Naiding, 2018. "Vulnerability analysis of interdependent R&D networks under risk cascading propagation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 1056-1068.
    10. Dongxiao Niu & Yi Liang & Haichao Wang & Meng Wang & Wei-Chiang Hong, 2017. "Icing Forecasting of Transmission Lines with a Modified Back Propagation Neural Network-Support Vector Machine-Extreme Learning Machine with Kernel (BPNN-SVM-KELM) Based on the Variance-Covariance Wei," Energies, MDPI, vol. 10(8), pages 1-21, August.
    11. Garay-Sianca, Aniela & Nurre Pinkley, Sarah G., 2021. "Interdependent integrated network design and scheduling problems with movement of machines," European Journal of Operational Research, Elsevier, vol. 289(1), pages 297-327.
    12. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    13. ASIMOPOLOS, Laurentiu & ASIMOPOLOS, Adrian-Aristide & ASIMOPOLOS, Natalia-Silvia, 2018. "The Role Of Interdependencies Between Critical Infrastructures In Rural Development," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 18(2), pages 63-81.
    14. Johansson, Jonas & Hassel, Henrik, 2010. "An approach for modelling interdependent infrastructures in the context of vulnerability analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1335-1344.
    15. Moglen, Rachel L. & Barth, Julius & Gupta, Shagun & Kawai, Eiji & Klise, Katherine & Leibowicz, Benjamin D., 2023. "A nexus approach to infrastructure resilience planning under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    16. Joanna Resurreccion & Joost Santos, 2013. "Uncertainty modeling of hurricane-based disruptions to interdependent economic and infrastructure systems," 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. 69(3), pages 1497-1518, December.
    17. Jalal Ali & Joost R. Santos, 2015. "Modeling the Ripple Effects of IT‐Based Incidents on Interdependent Economic Systems," Systems Engineering, John Wiley & Sons, vol. 18(2), pages 146-161, March.
    18. Scott Thacker & Stuart Barr & Raghav Pant & Jim W. Hall & David Alderson, 2017. "Geographic Hotspots of Critical National Infrastructure," Risk Analysis, John Wiley & Sons, vol. 37(12), pages 2490-2505, December.
    19. Cinta Lomba-Fernández & Josune Hernantes & Leire Labaka, 2019. "Guide for Climate-Resilient Cities: An Urban Critical Infrastructures Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    20. Ryan Hruska & Kent McGillivary & Robert Edsall, 2021. "A Functional All‐Hazard Approach to Critical Infrastructure Dependency Analysis," Journal of Critical Infrastructure Policy, John Wiley & Sons, vol. 2(2), pages 103-123, September.

    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:spr:nathaz:v:86:y:2017:i:1:d:10.1007_s11069-016-2682-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.