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Influence of contamination on the axial temperature profile of ACSR conductors

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Abstract

The thermal limit is hazardous to the current carrying capacity of conductors. Based on the experimental study of aluminum conductor steel reinforced (ACSR) wire, this article showed that nonuniform axial temperature profiles along the length of the aged conductor were related to contaminants deposited on the surface by pollution. And it showed composition analysis of the contaminants taken from areas of severe contamination and mild contamination. We had some discoveries. First, the temperature profile along the length of the aged conductor were much higher and steeper than those of the new conductor for various currents. Second, the temperature profile was strongly influenced by the surface conditions of the conductors. The more severe the contaminant level was, the greater the temperature change. And the difference in temperature between areas of mild and severe contamination was in the range from 2 to approximately 29.3 °C. Furthermore, contaminants taken from areas of severe contamination contained CO32−, oxides and organic compounds, and those from areas of mild contamination contained Na+, CO32−, oxides and organic compounds. It means that an abnormal increase in the surface temperature of the conductor is resulted from the nonuniform contamination distribution rather than different pollution components. The dynamic thermal rating of the new conductor was 55.73% greater than that of the aged conductor. After cleaning up the aged conductors, the dynamic thermal rating of the aged conductor was an improvement of 48.45%. It shows that cleaning up conductors or new conductors are able to withstand a higher alternating current along the conductor.

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References

  1. Beryozkina S (2019) Evaluation study of potential use of advanced conductors in transmission line projects. Energies 12(5):822–848. https://doi.org/10.3390/en12050822

    Article  Google Scholar 

  2. Liu YD, Chen ZW, Gu Q (2020) Numerical algorithms for calculating temperature, layered stress, and critical current of overhead conductors. Math Probl Eng. https://doi.org/10.1155/2020/6019493

    Article  Google Scholar 

  3. Davis MW (1977) A new thermal rating approach: The real time thermal rating system for strategic overhead conductor transmission lines – Part I: general description and justification of the real time thermal rating system. IEEE Trans. Power Appar PAS 96(3):803–809. https://doi.org/10.1109/T-PAS.1977.32393

    Article  Google Scholar 

  4. Guide for application of direct real-time monitoring systems. CIGRE WG B2.36, Brochure 498 2012. https://e-cigre.org/publication/498-guide-for-application-of-direct-real-time-monitoring-systems

  5. Bernauer C, Böhme H, Grossmann S, Hinrichsen V, Kornhuber S, Markalous S, Muhr M, Strehl T, Teminova R, (2007) Temperature measurement on overhead transmission lines (OHTL) utilizing surface acoustic wave (SAW) sensors. In: the Int Conf Elect Distrib CIRED, Vienna, Austria

  6. Lecuna R, Castro P, Manana M, Laso A, Domingo R, Arroyo A, Martinez R (2020) Non-contact temperature measurement method for dynamic rating of overhead power lines. Electr Power Syst Res 185:106392–106409. https://doi.org/10.1016/j.epsr.2020.106392

    Article  Google Scholar 

  7. Cheng YC, Liu PX, Zhang ZL, Dai Y (2021) Real-time dynamic line rating of transmission lines using live simulation model and Tabu search. IEEE Trans Power Deliv 36(3):1785–1794. https://doi.org/10.1109/TPWRD.2020.3014911

    Article  Google Scholar 

  8. Bena L, Gall V, Kanalik M, Kolcun M, Margitova A, Meszaros A, Urbansky J (2021) Calculation of the overhead transmission line conductor temperature in real operating conditions. Electr Eng 103(4):769–780. https://doi.org/10.1007/s00202-020-01107-2

    Article  Google Scholar 

  9. Kanalik M, Margitova A, Bena L (2019) Temperature calculation of overhead power line conductors based on CIGRE technical brochure 601 in Slovakia. Electr Eng 101(3):921–933. https://doi.org/10.1007/s00202-019-00831-8

    Article  Google Scholar 

  10. Šućurović M, Klimenta D, Raičević N, Perović B (2021) The effect of aging of surface non-metallic coatings on the ampacity of medium voltage rectangular bus bars. In: The 7th virtual international conference on science, technology and management in energy (eNergetics 2021), 16–17 December

  11. Klimenta DO, Perović BD, Jevtić MD, Radosavljević JN (2016) An analytical algorithm to determine allowable ampacities of horizontally installed rectangular bus bars. Therm Sci 20(2):717–730. https://doi.org/10.2298/TSCI140829127K

    Article  Google Scholar 

  12. Coneybeer RT, Black WZ, Bush RA (1994) Steady-state and transient ampacity of bus bar. IEEE Trans Power Deliv 9(4):1822–1829. https://doi.org/10.1109/61.329515

    Article  Google Scholar 

  13. IEEE Standard for calculating the current-temperature relationship of bare overhead conductors. In: IEEE Std 738-2012 (Revision of IEEE Std 738-2006 - Incorporates IEEE Std 738-2012 Cor 1-2013), pp 1–72 (2013). https://doi.org/10.1109/IEEESTD.2013.6692858

  14. Working thermal behavior of overhead conductors. CIGRE Group 22.12, Technical Brochure 207 (2002). https://e-cigre.org/publication/207-thermal-behaviour-of-overhead-conductors

  15. Guide for thermal rating calculation of overhead lines. CIGRE Group B2.43, Technical Brochure 601 (2014). http://e-cigre.org/publication/601-guide-for-thermal-rating-calculations-of-overhead-lines

  16. Nigol O, Barrett JS (1981) Characteristics of ACSR conductors at high temperatures and stresses. IEEE Trans Power Appar 100(2):485–493. https://doi.org/10.1109/TPAS.1981.316905

    Article  Google Scholar 

  17. Barrett JS, Dutta S, Nigol O (1983) A new computer model of ACSR conductors. IEEE Power Eng. Rev. 3(3):30–31. https://doi.org/10.1109/MPER.1983.5519230

    Article  Google Scholar 

  18. Alawar A, Bosze EJ, Nutt SR (2006) A hybrid numerical method to calculate the sag of composite conductors. Electr Power Syst Res 76(5):389–394. https://doi.org/10.1016/j.epsr.2005.09.006

    Article  Google Scholar 

  19. Albizu I, Mazon AJ, Valverde V, Buigues G (2010) Aspects to take into account in the application of mechanical calculation to high-temperature low-sag conductors. IET Gener Transm Distrib 4(5):631–640. https://doi.org/10.1049/iet-gtd.2009.0543

    Article  Google Scholar 

  20. Dong XY (2016) Analytic method to calculate and characterize the sag and tension of overhead lines. IEEE Trans Power Deliv 31(5):2064–2071. https://doi.org/10.1109/TPWRD.2015.2510318

    Article  Google Scholar 

  21. Albizu I, Mazon AJ, Zamora I (2009) Flexible strain-tension calculation method for gap-type overhead conductors. IEEE Trans Power Deliv 24(3):1529–1537. https://doi.org/10.1109/TPWRD.2009.2016631

    Article  Google Scholar 

  22. Zunec M, Ticar I, Jakl F (2006) Determination of current and temperature distribution in overhead conductors by using electromagnetic-field analysis tools. IEEE Trans Power Deliv 21(3):1524–1529. https://doi.org/10.1109/TPWRD.2005.864053

    Article  Google Scholar 

  23. Alvarez JR, Franck CM (2015) Radial thermal conductivity of all-aluminum alloy conductors. IEEE Trans Power Deliv 30(4):1983–1990. https://doi.org/10.1109/TPWRD.2015.2431374

    Article  Google Scholar 

  24. Hu J, Xiong XF, Chen J, Wang W, Wang J (2019) Transient temperature calculation and multi-parameter thermal protection of overhead transmission lines based on an equivalent thermal network. Energies 12(1):67–92. https://doi.org/10.3390/en12010067

    Article  Google Scholar 

  25. Liu DM, Wang PY, Zheng WC, Li Y, Li JW, Tang WH, Shi L, Liu G (2021) Investigation of sag behaviour for aluminium conductor steel reinforced considering tensile stress distribution. Royal Soc Open Sci 8(8):1–16. https://doi.org/10.1098/rsos.210049

    Article  Google Scholar 

  26. Cimini CA, Fonseca BQA (2013) Temperature profile of progressive damaged overhead electrical conductors. Int J Electr Power Energy Syst 49:280–286. https://doi.org/10.1016/j.ijepes.2012.12.015

    Article  Google Scholar 

  27. Gong F, Cheng Y, Tan JW, Yap D, Nguyen ST, Duong HM (2013) Computational study on anisotropic thermal characterization of multi-scale wires using transient electrothermal technique. Int J Therm Sci 77:165–171. https://doi.org/10.1016/j.ijthermalsci.2013.10.018

    Article  Google Scholar 

  28. Chen L, Bian MX, Wan SW, Wang LM, Guan ZC (2014) Influence of temperature character of AC aged conductor on current carrying capacity. High Volt Eng 40(5):1499–1506. https://doi.org/10.13336/j.1003-6520.hve.2014.05.029

    Article  Google Scholar 

  29. Wu Y (2020) Research on the evolution and control of urban haze in Xi’an (1912–2019)—a historical comparison with London Haze[D]. Shaanxi Normal Univ. https://doi.org/10.27292/d.cnki.gsxfu.2020.000139

    Article  Google Scholar 

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Acknowledgements

This work was supported in part by State Grid Shaanxi Electric Power Company (2126KY19006K), the Key Research and Development Projects of Shaanxi Province under Grant 2021GY-068, the Key Research and Development Program of Shaanxi Province under Grant 2018ZDXM-GY-040.

Funding

Key Research and Development Projects of Shaanxi Province, 2021GY-068, Long Zhao, 2018ZDXM-GY-040, Xinbo Huang, State Grid Shaanxi Electric Power Company, 2126KY19006K, Long Zhao

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Authors and Affiliations

  1. Department of Electric Power Engineering, School of Electronics Information, Xi’an Polytechnic University, Xi’an, 710600, China

    Long Zhao, Rushui Wang, Pengfei Dai & Xinbo Huang

  2. State Grid Shaanxi Electric Power Research Institute, Xi’an, 710100, China

    Chao Zhu

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  1. Long Zhao
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  2. Rushui Wang
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Correspondence to Xinbo Huang.

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Zhao, L., Wang, R., Dai, P. et al. Influence of contamination on the axial temperature profile of ACSR conductors. Electr Eng 105, 733–743 (2023). https://doi.org/10.1007/s00202-022-01694-2

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