IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i3p556-d485021.html
   My bibliography  Save this article

Assessment of the Risk of Damage to 110 kV Overhead Lines Due to Wind

Author

Listed:
  • Andrew Lukas Chojnacki

    (Department of Power Engineering, Kielce University of Technology, 25-314 Kielce, Poland)

Abstract

The article presents an assessment of the risk of damage to 110 kV overhead power lines as a result of the impact of wind of variable speeds on that equipment. A statistical method for the assessment of the reliability of power structures in conditions of variable strength of the structure and at variable exposure values is presented. This method is based on the analysis of the shape and mutual location of the distributions of the probability density of the momentary resistance (strength) of the tested structure and the exposures of variable values occurring in its surroundings. The risk of wind damage to 110 kV lines has been determined on the basis of many years of observations of wind speed and failure rate of the lines. Wind has been shown to be the fault factor or co-factor responsible for damage in one in five failures of such equipment. The final part of the article includes an analysis of the obtained results and their interpretation.

Suggested Citation

  • Andrew Lukas Chojnacki, 2021. "Assessment of the Risk of Damage to 110 kV Overhead Lines Due to Wind," Energies, MDPI, vol. 14(3), pages 1-14, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:556-:d:485021
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/3/556/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/3/556/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahmed, T. & Muttaqi, K.M. & Agalgaonkar, A.P., 2012. "Climate change impacts on electricity demand in the State of New South Wales, Australia," Applied Energy, Elsevier, vol. 98(C), pages 376-383.
    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. Joanna Iwaniec & Marek Iwaniec & Piotr Kurowski & Krystian Szopa, 2022. "Investigation into Power Line Supporting Structure Dynamic Properties by Means of Impulse Test," Energies, MDPI, vol. 15(15), pages 1-18, August.
    2. Gonçalves, Ana & Marques, Margarida Correia & Loureiro, Sílvia & Nieto, Raquel & Liberato, Margarida L.R., 2023. "Disruption risk analysis of the overhead power lines in Portugal," Energy, Elsevier, vol. 263(PA).
    3. Waraporn Luejai & Thanapong Suwanasri & Cattareeya Suwanasri, 2021. "D-distance Risk Factor for Transmission Line Maintenance Management and Cost Analysis," Sustainability, MDPI, vol. 13(15), pages 1-14, July.

    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. Santágata, Daniela M. & Castesana, Paula & Rössler, Cristina E. & Gómez, Darío R., 2017. "Extreme temperature events affecting the electricity distribution system of the metropolitan area of Buenos Aires (1971–2013)," Energy Policy, Elsevier, vol. 106(C), pages 404-414.
    2. Zamanipour, Behzad & Ghadaksaz, Hesam & Keppo, Ilkka & Saboohi, Yadollah, 2023. "Electricity supply and demand dynamics in Iran considering climate change-induced stresses," Energy, Elsevier, vol. 263(PE).
    3. D'Amico, A. & Ciulla, G. & Panno, D. & Ferrari, S., 2019. "Building energy demand assessment through heating degree days: The importance of a climatic dataset," Applied Energy, Elsevier, vol. 242(C), pages 1285-1306.
    4. Ding, Lili & Zhao, Zhongchao & Han, Meng, 2021. "Probability density forecasts for steam coal prices in China: The role of high-frequency factors," Energy, Elsevier, vol. 220(C).
    5. Li, Xian-Xiang, 2018. "Linking residential electricity consumption and outdoor climate in a tropical city," Energy, Elsevier, vol. 157(C), pages 734-743.
    6. Vu, D.H. & Muttaqi, K.M. & Agalgaonkar, A.P., 2015. "A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables," Applied Energy, Elsevier, vol. 140(C), pages 385-394.
    7. Ismail, M.S. & Moghavvemi, M. & Mahlia, T.M.I. & Muttaqi, K.M. & Moghavvemi, S., 2015. "Effective utilization of excess energy in standalone hybrid renewable energy systems for improving comfort ability and reducing cost of energy: A review and analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 726-734.
    8. Karodine Chreng & Han Soo Lee & Soklin Tuy, 2022. "A Hybrid Model for Electricity Demand Forecast Using Improved Ensemble Empirical Mode Decomposition and Recurrent Neural Networks with ERA5 Climate Variables," Energies, MDPI, vol. 15(19), pages 1-26, October.
    9. Tanya Suhoy & Maayan Tropper-Wachtel, 2021. "Global Warming Effects on Electricity Demand in Israel," Bank of Israel Working Papers 2021.17, Bank of Israel.
    10. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
    11. Tong Wu & Zhe You & Mengqi Gong & Jinhua Cheng, 2021. "Star Wars? Space Weather and Electricity Market: Evidence from China," Energies, MDPI, vol. 14(17), pages 1-14, August.
    12. Du, Kerui & Yu, Ying & Wei, Chu, 2020. "Climatic impact on China's residential electricity consumption: Does the income level matter?," China Economic Review, Elsevier, vol. 63(C).
    13. Uddin, Gazi Salah & Hasan, Md. Bokhtiar & Phoumin, Han & Taghizadeh-Hesary, Farhad & Ahmed, Ali & Troster, Victor, 2023. "Exploring the critical demand drivers of electricity consumption in Thailand," Energy Economics, Elsevier, vol. 125(C).
    14. Hameed, Shahzad & Wei, Wei & Farrukh, Muhammad Umer & Li, Shuangyan & Ilyas, Muhammad & ul-Haq, Inam, 2023. "Revisiting the asymmetric outcome of renewable and nonrenewable energy on environmental quality in South and East Asia: An application of a broad-spectrum approach," Renewable Energy, Elsevier, vol. 203(C), pages 81-88.
    15. Fan, Jing-Li & Hu, Jia-Wei & Zhang, Xian, 2019. "Impacts of climate change on electricity demand in China: An empirical estimation based on panel data," Energy, Elsevier, vol. 170(C), pages 880-888.
    16. Joyce Nyuma Chivunga & Zhengyu Lin & Richard Blanchard, 2023. "Power Systems’ Resilience: A Comprehensive Literature Review," Energies, MDPI, vol. 16(21), pages 1-31, October.
    17. Erkuş, Ekin Can & Purutçuoğlu, Vilda, 2021. "Outlier detection and quasi-periodicity optimization algorithm: Frequency domain based outlier detection (FOD)," European Journal of Operational Research, Elsevier, vol. 291(2), pages 560-574.
    18. Kornelia Banasik, 2024. "Influence of Ambient Temperature on the Reliability of Overhead LV Power Lines with Bare Conductors," Energies, MDPI, vol. 17(13), pages 1-10, June.
    19. Qin, Pengcheng & Xu, Hongmei & Liu, Min & Xiao, Chan & Forrest, Kate E. & Samuelsen, Scott & Tarroja, Brian, 2020. "Assessing concurrent effects of climate change on hydropower supply, electricity demand, and greenhouse gas emissions in the Upper Yangtze River Basin of China," Applied Energy, Elsevier, vol. 279(C).
    20. Moral-Carcedo, Julián & Pérez-García, Julián, 2015. "Temperature effects on firms’ electricity demand: An analysis of sectorial differences in Spain," Applied Energy, Elsevier, vol. 142(C), pages 407-425.

    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:14:y:2021:i:3:p:556-:d:485021. 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.