IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v107y2021i1d10.1007_s11069-021-04579-y.html
   My bibliography  Save this article

Risk warning technology for the whole process of overhead transmission line trip caused by wildfire

Author

Listed:
  • Yu Liu

    (State Key Laboratory of Disaster Prevention & Reduction for Power Grid Transmission and Distribution Equipment
    State Grid Hunan Electric Power Corporation Disaster Prevention & Reduction Center)

  • Bo Li

    (State Key Laboratory of Disaster Prevention & Reduction for Power Grid Transmission and Distribution Equipment
    State Grid Hunan Electric Power Corporation Disaster Prevention & Reduction Center)

  • Chuanping Wu

    (State Key Laboratory of Disaster Prevention & Reduction for Power Grid Transmission and Distribution Equipment
    State Grid Hunan Electric Power Corporation Disaster Prevention & Reduction Center)

  • Baohui Chen

    (State Key Laboratory of Disaster Prevention & Reduction for Power Grid Transmission and Distribution Equipment
    State Grid Hunan Electric Power Corporation Disaster Prevention & Reduction Center)

  • Tejun Zhou

    (State Key Laboratory of Disaster Prevention & Reduction for Power Grid Transmission and Distribution Equipment
    State Grid Hunan Electric Power Corporation Disaster Prevention & Reduction Center)

Abstract

Wildfire disasters on overhead transmission lines seriously threaten the safe and stable operation of large power grids and the normal use of electricity. After a wildfire occurs near a transmission line, it is often inefficient to take measures afterward. In order to guide the early warning of wildfire disasters on overhead transmission lines and strengthen the active prevention of them, this paper proposes a method for calculating the occurrence risk of overhead transmission line wildfires that considers the hazards of vegetation burning. Compared with conventional methods, the considerations are more comprehensive. A calculation method for wildfire trip risk coefficient based on tripping probability and transmission load that does not need to calculate the wildfire spread process is proposed, and the calculation is simpler. For the first time, a comprehensive calculation method for the whole-process tripping risk of overhead transmission lines caused by wildfires combined with the wildfire occurrence risk and the trip risk coefficient is proposed, compared with methods that calculated only the risk level of wildfires and ones that calculated only the tripping probability, comprehensively analyzing the entire process from the potential factors of wildfires to the danger of tripping, which is more scientific. Application cases showed that this method accurately reflected the risk of wildfire trips on overhead transmission lines, thereby guiding the optimization of the wildfire prevention resource deployment in advance and improving wildfire prevention in power grids.

Suggested Citation

  • Yu Liu & Bo Li & Chuanping Wu & Baohui Chen & Tejun Zhou, 2021. "Risk warning technology for the whole process of overhead transmission line trip caused by wildfire," 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. 107(1), pages 195-212, May.
    • Handle: RePEc:spr:nathaz:v:107:y:2021:i:1:d:10.1007_s11069-021-04579-y
    DOI: 10.1007/s11069-021-04579-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-021-04579-y
    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/s11069-021-04579-y?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. Jun Deng & Yang Xiao & Junhui Lu & Hu Wen & Yongfei Jin, 2015. "Application of composite fly ash gel to extinguish outcrop coal fires in China," 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. 79(2), pages 881-898, November.
    2. Fanghui Yi & Chen Li & Yan Feng, 2018. "Two precautions of entropy-weighting model in drought-risk assessment," 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. 93(1), pages 339-347, August.
    3. Wenliang Liu & Litao Wang & Yi Zhou & Shixin Wang & Jinfeng Zhu & Futao Wang, 2016. "A comparison of forest fire burned area indices based on HJ satellite data," 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. 81(2), pages 971-980, March.
    4. Wenliang Liu & Litao Wang & Yi Zhou & Shixin Wang & Jinfeng Zhu & Futao Wang, 2016. "A comparison of forest fire burned area indices based on HJ satellite data," 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. 81(2), pages 971-980, March.
    Full references (including those not matched with items on IDEAS)

    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. Hatice Oncel Cekim & Coşkun Okan Güney & Özdemir Şentürk & Gamze Özel & Kürşad Özkan, 2021. "A novel approach for predicting burned forest area," 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. 105(2), pages 2187-2201, January.
    2. Qu, Baolin & Zhu, Hongqing & Tian, Rui & Hu, Lintao & Wang, Jingxin & Liao, Qi & Gao, Rongxiang & Wang, Haoran, 2023. "Investigation of the impact of pyrite content on the terahertz dielectric response of coals and rapid recognition with kernel-SVM," Energy, Elsevier, vol. 285(C).
    3. Zhang, Xun & Lu, Bing & Qiao, Ling & Ding, Cong, 2023. "Study on the kinetics of chemical structure reaction in coal catalyzed by OH free radicals," Energy, Elsevier, vol. 285(C).
    4. Xue, Di & Hu, Xiangming & Cheng, Weimin & Yu, Xiaoxiao & Wu, Mingyue & Zhao, Yanyun & Lu, Yi & Pan, Rongkun & Niu, Huiyong & Hu, Shengyong, 2020. "Development of a novel composite inhibitor modified with proanthocyanidins and mixed with ammonium polyphosphate," Energy, Elsevier, vol. 213(C).
    5. Shuping Pan & Jun Li & Hongping Gong & Zhanheng Zhu & Shunan Xu & Caiping Jiang & Wenxiang Cai, 2023. "Resource Disposal and Products of Fly Ash from Domestic Waste Incineration in Zhejiang Province, China: Migration and Change of Hazardous Heavy Metals," Sustainability, MDPI, vol. 16(1), pages 1-12, December.
    6. Wentong Yang & Liyuan Zhang & Chunlei Liang, 2023. "Agricultural drought disaster risk assessment in Shandong Province, China," 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. 118(2), pages 1515-1534, September.
    7. Xuyao Qi & Cunxiang Wei & Qizhong Li & Libin Zhang, 2016. "Controlled-release inhibitor for preventing the spontaneous combustion of coal," 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. 82(2), pages 891-901, June.
    8. Pengyu Chen, 2019. "A Novel Coordinated TOPSIS Based on Coefficient of Variation," Mathematics, MDPI, vol. 7(7), pages 1-17, July.

    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:107:y:2021:i:1:d:10.1007_s11069-021-04579-y. 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.