IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v229y2023ics0951832022004926.html
   My bibliography  Save this article

Wind-induced failure analysis of a transmission tower-line system with long-term measured data and orientation effect

Author

Listed:
  • Bi, Wenzhe
  • Tian, Li
  • Li, Chao
  • Ma, Zhen
  • Pan, Haiyang

Abstract

This paper proposes a comprehensive wind-induced performance evaluation framework for transmission tower-line systems (TTLSs) from both structural safety and normal operation dimensions, incorporating the joint effect of wind speed and direction, as well as the line orientation. Based on the field wind data recorded in Weifang, China during 1971–2020, the actual failure probability of a local TTLS is calculated considering the joint probability distribution (JPD) of wind speed and direction, and the optimal layout of the transmission line is provided. The results show that the developed QS copula model can not only account for the continuity and cyclicity of wind direction but also have a fine goodness-of-fit. The wind direction with a relatively lower occurrence probability does not necessarily yield smaller failure probability of the TTLS, thereby the JPD of wind speed and direction should be incorporated to achieve reliable performance assessment. For the failure analysis with respect to structural damage, the most favorable layout of the exemplar TTLS is the orientation of 265°; while the most advantageous layout is the orientation of 38° in terms of flashover risk. The presented framework is conducive to performance assessment and optimization design of TTLSs subjected to wind hazards.

Suggested Citation

  • Bi, Wenzhe & Tian, Li & Li, Chao & Ma, Zhen & Pan, Haiyang, 2023. "Wind-induced failure analysis of a transmission tower-line system with long-term measured data and orientation effect," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
  • Handle: RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022004926
    DOI: 10.1016/j.ress.2022.108875
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832022004926
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2022.108875?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. Salman, Abdullahi M. & Li, Yue & Stewart, Mark G., 2015. "Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 319-333.
    2. Winkler, James & Dueñas-Osorio, Leonardo & Stein, Robert & Subramanian, Devika, 2010. "Performance assessment of topologically diverse power systems subjected to hurricane events," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 323-336.
    3. Scherb, Anke & Garrè, Luca & Straub, Daniel, 2019. "Evaluating component importance and reliability of power transmission networks subject to windstorms: methodology and application to the nordic grid," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    4. 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).
    5. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
    6. 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).
    7. Cadini, F. & Zio, E. & Petrescu, C.A., 2010. "Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 173-181.
    8. Stuart G. Coles & David Walshaw, 1994. "Directional Modelling of Extreme Wind Speeds," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(1), pages 139-157, March.
    9. Lu, Qin & Zhang, Wei, 2022. "Integrating dynamic Bayesian network and physics-based modeling for risk analysis of a time-dependent power distribution system during hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    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. Wang, Jian & Liu, Huiyuan & Gao, Shibin & Yu, Long & Liu, Xingyang & Zhang, Dongkai & Kou, Lei, 2024. "Robust deep Gaussian process-based trustworthy fog-haze-caused pollution flashover prediction approach for overhead contact lines," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    2. Oboudi, Mohammad Hossein & Mohammadi, Mohammad, 2024. "Two-Stage Seismic Resilience Enhancement of Electrical Distribution Systems," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Zhang, Ruixing & An, Liqiang & He, Lun & Yang, Xinmeng & Huang, Zenghao, 2024. "Reliability analysis and inverse optimization method for floating wind turbines driven by dual meta-models combining transient-steady responses," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    4. Meng, Xiangrui & Tian, Li & Li, Chao & Liu, Juncai, 2024. "Copula-based wind-induced failure prediction of overhead transmission line considering multiple temperature factors," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    5. Dikshit, Saransh & Alipour, Alice, 2023. "A moment-matching method for fragility analysis of transmission towers under straight line winds," Reliability Engineering and System Safety, Elsevier, vol. 236(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. Dikshit, Saransh & Alipour, Alice, 2023. "A moment-matching method for fragility analysis of transmission towers under straight line winds," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    2. Jasiūnas, Justinas & Heikkinen, Tatu & Lund, Peter D. & Láng-Ritter, Ilona, 2023. "Resilience of electric grid to extreme wind: Considering local details at national scale," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    3. Hughes, William & Zhang, Wei & Cerrai, Diego & Bagtzoglou, Amvrossios & Wanik, David & Anagnostou, Emmanouil, 2022. "A Hybrid Physics-Based and Data-Driven Model for Power Distribution System Infrastructure Hardening and Outage Simulation," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    4. Shen, Zhonghui & Wei, Kai, 2021. "Stochastic model of tropical cyclones along China coast including the effects of spatial heterogeneity and ocean feedback," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    5. 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).
    6. Lin, Yi-Kuei & Yeh, Cheng-Ta, 2011. "Maximal network reliability for a stochastic power transmission network," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1332-1339.
    7. Yi‐Ping Fang & Giovanni Sansavini & Enrico Zio, 2019. "An Optimization‐Based Framework for the Identification of Vulnerabilities in Electric Power Grids Exposed to Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 1949-1969, September.
    8. 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).
    9. Meng, Xiangrui & Tian, Li & Li, Chao & Liu, Juncai, 2024. "Copula-based wind-induced failure prediction of overhead transmission line considering multiple temperature factors," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    10. Venkateswaran V, Balaji & Saini, Devender Kumar & Sharma, Madhu, 2021. "Techno-economic hardening strategies to enhance distribution system resilience against earthquake," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    11. Salman, Abdullahi M. & Li, Yue & Bastidas-Arteaga, Emilio, 2017. "Maintenance optimization for power distribution systems subjected to hurricane hazard, timber decay and climate change," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 136-149.
    12. Paraic C. Ryan & Mark G. Stewart, 2017. "Cost-benefit analysis of climate change adaptation for power pole networks," Climatic Change, Springer, vol. 143(3), pages 519-533, August.
    13. Hughes, William & Zhang, Wei & Bagtzoglou, Amvrossios C. & Wanik, David & Pensado, Osvaldo & Yuan, Hao & Zhang, Jintao, 2021. "Damage modeling framework for resilience hardening strategy for overhead power distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    14. 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.
    15. 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).
    16. Hong, Xu & Wan, Zhiqiang & Chen, Jianbing, 2023. "Parallel assessment of the tropical cyclone wind hazard at multiple locations using the probability density evolution method integrated with the change of probability measure," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    17. 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).
    18. Hou, Hui & Liu, Chao & Wei, Ruizeng & He, Huan & Wang, Lei & Li, Weibo, 2023. "Outage duration prediction under typhoon disaster with stacking ensemble learning," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    19. Omoyele, Olalekan & Hoffmann, Maximilian & Koivisto, Matti & Larrañeta, Miguel & Weinand, Jann Michael & Linßen, Jochen & Stolten, Detlef, 2024. "Increasing the resolution of solar and wind time series for energy system modeling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    20. Shen, Lijuan & Cassottana, Beatrice & Tang, Loon Ching, 2018. "Statistical trend tests for resilience of power systems," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 138-147.

    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:eee:reensy:v:229:y:2023:i:c:s0951832022004926. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.