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Limiting the wind-induced deflection amplitude of an overhead conductor: establishment of multi-rigid-body model and optimization of structural parameters

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Abstract

To limit the wind-induced deflection amplitude of an overhead conductor, this study proposes a calculation model and an optimization model for overhead lines. According to the geometric deformation relationship and the principle of energy conservation, a multi-rigid-body model (MRBM) is proposed for the wind-induced deflection of the overhead lines. An aeroelastic model wind tunnel test was designed to verify the accuracy of the MRBM; the efficiency of the MRBM was verified through comparison with the finite element model (FEM). The optimization model is presented, and the structural parameters of the transmission lines in the actual project are optimized and analyzed. The results show that the accuracy of the MRBM can meet engineering requirements; the solution time is shorter than FEM, and the MRBM is easily called by the optimization algorithm. The structural parameter optimization effectively limits the deflection amplitude of the overhead conductor according to the engineering requirements.

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References

  1. E. Abd-Elaal, J. E. Mills and X. Ma, A review of transmission line systems under downburst wind loads, Journal of Wind Engineering and Industrial Aerodynamics, 179 (2018) 503–513.

    Article  Google Scholar 

  2. C. D. F. Barbosa, C. Severino, E. Matsumoto, L. Guijun, L. Labaki, M. Leone, P. S. F. Barbosa, P. Vatavuk, R. P. Camargo and T. Forti, Windbreaks working as barriers to high speed winds for protection of electric power transmission lines and towers, Engineering Failure Analysis, 82 (2017) 753–764.

    Article  Google Scholar 

  3. W. J. Lou, J. Yu, L. Yang, Z. B. Lyu and M. Lu, Design of the inhibiting device against flashover caused by windage yaw in transmission lines, High Voltage Engineering, 42(10) (2016) 3253–3262.

    Google Scholar 

  4. A. L. Clapp, Calculation of horizontal displacement of conductors under wind loading toward buildings and other supporting structures, IEEE Transactions on Industry Applications, 30(2) (1994) 496–504.

    Article  Google Scholar 

  5. J. Wang, X. **ong, Z. Li, W. Wang and J. Zhu, Wind forecast-based probabilistic early warning method of wind swing discharge for OHTLs, IEEE Transactions on Power Delivery, 31(5) (2016) 2169–2178.

    Article  Google Scholar 

  6. A. Rossi, C. Jubayer, H. Koss, D. Arriaga and H. Hangan, Combined effects of wind and atmospheric icing on overhead transmission lines, Journal of Wind Engineering and Industrial Aerodynamics, 204 (2020) 104271.

    Article  Google Scholar 

  7. N. K. Sinha and P. Hagedorn, Wind-excited overhead transmission lines: estimation of connection stresses at junctions, Journal of Sound and Vibration, 301(1–2) (2007) 400–409.

    Article  Google Scholar 

  8. C. Zhou, Y. Liu and Z. Ma, Investigation on aerodynamic instability of high-voltage transmission lines under rain-wind condition, Journal of Mechanical Science and Technology, 29 (2015) 131–139.

    Article  Google Scholar 

  9. H. Keyhan, G. McClure and W. G. Habashi, Dynamic analysis of an overhead transmission line subject to gusty wind loading predicted by wind conductor interaction, Computers and Structures, 122 (2013) 135–144.

    Article  Google Scholar 

  10. H. Aboshosha, A. Elawady, A. El Ansary and A. El Damatty, Review on dynamic and quasi-static buffeting response of transmission lines under synoptic and non-synoptic winds, Engineering Structures, 112 (2016) 23–46.

    Article  Google Scholar 

  11. I. C. Costa, L. F. Venturini and M. A. D. Rosa, Wind speed severity scale model applied to overhead line reliability simulation, Electric Power Systems Research, 171 (2019) 240–250.

    Article  Google Scholar 

  12. E. Talib, J. H. Shin, M. K. Kwak and J. R. Koo, Dynamic modeling and simulation for transmission line gallo**, Journal of Mechanical Science and Technology, 33 (2019) 4173–4181.

    Article  Google Scholar 

  13. P. V. Hung, H. Yamaguchi, M. Isozaki and J. H. Gull, Large amplitude vibrations of long-span transmission lines with bundled conductors in gusty wind, Journal of Wind Engineering and Industrial Aerodynamics, 126 (2014) 48–59.

    Article  Google Scholar 

  14. X. Li, W. Zhang, H. W. Niu and Z. Y. Wu, Probabilistic capacity assessment of single circuit transmission tower-line system subjected to strong winds, Engineering Structures, 175 (2018) 517–530.

    Article  Google Scholar 

  15. X. Hu, Z. Q. Wang and R. Tian, Calculation of the dynamic wind-induced deflection response of overhead lines: establishment and analysis of the multi-rigid-body model, IEEE Access, 8 (2020) 180883–180895.

    Article  Google Scholar 

  16. H. Yasui, H. Marukawa and Y. Momomura, Analytical study on wind-induced vibration of power transmission towers, Journal of Wind Engineering and Industrial Aerodynamics, 83(1–3) (1999) 431–441.

    Article  Google Scholar 

  17. K. Deb and H. Jain, An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints, IEEE Transactions on Evolutionary Computation, 18(4) (2014) 577–601.

    Article  Google Scholar 

  18. D. Wang, X. Chen and J. Li, Prediction of wind-induced buffeting response of overhead conductor: comparison of linear and nonlinear analysis approaches, Journal of Wind Engineering and Industrial Aerodynamics, 167 (2017) 23–40.

    Article  Google Scholar 

  19. G. Yinglong, L. Guoxing and Y. Chuanyong, Gallo** of Transmission Line, China Electric Power Press, Bei**g (2003) 139–151.

    Google Scholar 

  20. A. M. Loredo-Souza and A. G. Davenport, The effects of high winds on transmission lines, Journal of Wind Engineering and Industrial Aerodynamics, 74–76 (1998) 987–994.

    Article  Google Scholar 

  21. A. Q. Zhou, X. J. Liu, S. X. Zhang, F. J. Cui and P. Liu, Wind tunnel test of the influence of an interphase spacer on the gallo** control of iced eight-bundled conductors, Cold Regions Science and Technology, 155 (2018) 354–366.

    Article  Google Scholar 

  22. F. Cui, X. Liu, S. Zhang, A. Zhou and B. Huo, The impact of interphase spacers on gallo** control of three-phase iced eight-bundled transmission lines: an experimental study, IEEE Transactions on Power Delivery, 36(1) (2021) 371–382.

    Article  Google Scholar 

  23. L. Brand, The Pi theorem of dimensional analysis, Archive for Rational Mechanics and Analysis, 1(1) (1957) 35–45.

    Article  MathSciNet  Google Scholar 

  24. S. Ur. Rehman, S. Tu, Y. Huang and G. Liu, CSFL: a novel unsupervised convolution neural network approach for visual pattern classification, Ai Communications, 30(4) (2017) 1–14.

    MathSciNet  Google Scholar 

  25. S. Tu, S. Ur. Rehman, M. Waqas, O. Ur. Rehman, Z. Shah, Z. Yang and A. Koubaa, ModPSO-CNN: an evolutionary convolution neural network with application to visual recognition, Soft Computing, 25 (2021) 2165–2176.

    Article  Google Scholar 

  26. K. Deb, A. Pratap, S. Agarwal and T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, 6(2) (2002) 182–197.

    Article  Google Scholar 

  27. J. S. Acosta and M. C. Tavares, Optimal selection and positioning of conductors in multi-circuit overhead transmission lines using evolutionary computing, Electric Power Systems Research, 180 (2020) 106174.1–106174.9.

    Article  Google Scholar 

Download references

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Correspondence to **n Hu.

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**n Hu receive his M.S. degree in Mechatronic Engineering from the Inner Mongolia University of Science and Technology, Baotou, China, in 2016. He is currently pursuing a Ph.D. in Power Machinery Engineering at the North China Electric Power University, Baoding, China. His main research interests include the vibration mechanics of multi-rigid-bodies and the dynamic wind-induced deflection model and mechanism of overhead lines.

Zhangqi Wang receive his Ph.D. in Power Systems and Automation from the North China Electric Power University, Baoding, China, in 1997. He is currently a Professor at the Department of Mechanical Engineering, North China Electric Power University, Baoding, China. His main research interests include engineering vibration and intensity and transmission lines engineering.

Rui Tian receive his M.S. degree in Mechanical Engineering from the North China Electric Power University, Baoding, China, in 2020. He is currently pursuing a Ph.D. in Power Machinery Engineering at the North China Electric Power University, Baoding, China. His main research interests include transmission lines engineering and microterrain wind fields.

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Hu, X., Wang, Z. & Tian, R. Limiting the wind-induced deflection amplitude of an overhead conductor: establishment of multi-rigid-body model and optimization of structural parameters. J Mech Sci Technol 36, 3205–3216 (2022). https://doi.org/10.1007/s12206-022-0601-0

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  • DOI: https://doi.org/10.1007/s12206-022-0601-0

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