Dynamic Model of Overhead Power Transmission Lines Charging Capacity Taking into Account Meteorological Factors

Authors

  • T. L. Katsadze National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
  • V. A. Bazhenov National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
  • N. V. Buslova National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
  • O. M. Yankoska National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
  • K. M. Novikov National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Keywords:

overhead power line, charging capacity, meteorological factors, wire sag, inclinometric monitoring, ice, dynamic model, Smart Grid

Abstract

The article investigates the impact of meteorological conditions on the charging capacity of overhead power lines and develops an approach to monitoring the condition of wires in changing meteorological conditions. It is shown that changes in temperature, wind pressure, and ice formation cause variations in the sag of the wire, which leads to a change in its spatial position and, accordingly, the charging capacity of the line. The results of mathematical modeling are presented, which allowed to perform quantitative assessment of the influence of temperature fluctuations and icing on the capacitive parameters the main lines. It has been established that temperature changes in the range from –30 °C to +70 °C can cause a change in charging capacity of approximately 1 %, and the formation of an ice layer up to 40 mm thick can cause an increase in capacity of up to 1.5 %. Such deviations are insignificant for distribution networks, but can be critical for long overhead lines of ultra-high voltage. Refined mathematical models have been developed that take into account the influence of wire sag on charging capacity, as well as analytical relationships between sag, temperature, and the angle of inclination of the wire in the span. Particular attention is paid to the inclinometric approach as one of the most efficient and technologically simple methods of monitoring the condition of the wire. Almost linear relationship has been established between the angle of inclination of the sensor and the sag for spans ranging in length from 100 to 450 m, which makes it possible to indirectly determine both the temperature of the wire and the mass of ice deposits. Based on the obtained dependencies, algorithms have been developed for the operation of the monitoring device, which implement two modes: continuous monitoring of sag and monitoring only in the temperature range at which icing deposits are observed.

Author Biographies

T. L. Katsadze, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Cand. Sc. (Eng), Head of the Chair of Electrical Networks and Systems

V. A. Bazhenov, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Cand. Sc. (Eng), Associate Professor of the Chair of Electrical Networks and Systems

N. V. Buslova, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Cand. Sc. (Eng), Associate Professor of the Chair of Electrical Networks and Systems

O. M. Yankoska, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Senior Lecturer of the Chair of Electrical Networks and Systems

K. M. Novikov, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Post-Graduate Student of the Department of Electrical Power Engineering and Automation

References

A. Ahmadi, et al., “Decomposition-Based Stacked Bagging Boosting Ensemble for Dynamic Line Rating Forecasting,” IEEE Transactions on Power Delivery, pp. 1-10, 2023. https://doi.org/10.1109/tpwrd.2023.3267511 . Accessed: 20.10.2025.

A. Mansour Saatloo, et al., “Hierarchical Extreme Learning Machine Enabled Dynamic Line Rating Forecasting,” IEEE Systems Journal, pp. 1-11, 2021. https://doi.org/10.1109/jsyst.2021.3128213 . Accessed: 20.10.2025.

P. Glaum, and F. Hofmann, “Enhancing the German Transmission Grid Through Dynamic Line Rating,” 2022 18th International Conference on the European Energy Market (EEM), Ljubljana, Slovenia, 13-15 September 2022, 2022. https://doi.org/10.1109/eem54602.2022.9921148 . Accessed: 20.10.2025.

P. K. Gupta, K. Tuttelberg, and J. Kilter. “Weather dependency of corona losses on 330 kV overhead transmission lines. International Journal of Electrical Power & Energy Systems,” vol. 155, pp. 109-537, 2024. https://doi.org/10.1016/j.ijepes.2023.109537 . Accessed: 20.10.2025.

J.-R. Riba, and M. Moreno-Eguilaz, “Analyzing the effect of corona losses on dynamic line rating models for overhead transmission lines,” International Journal of Electrical Power & Energy Systems, vol. 166, pp. 110-546, 2025. https://doi.org/10.1016/j.ijepes.2025.110546 . Accessed: 20.10.2025.

F. Yin, M. Farzaneh, and X. Jiang, “Corona investigation of an energized conductor under various weather conditions,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 24, no. 1. pp. 462-470, 2017. https://doi.org/10.1109/tdei.2016.006302 . Accessed: 20.10.2025.

S. Karimi, P. Musilek, and A. M. Knight, “Dynamic thermal rating of transmission lines: A review,” Renewable and Sustainable Energy Reviews, vol. 91, pp. 600-612, 2018. https://doi.org/10.1016/j.rser.2018.04.001 . Accessed: 20.10.2025.

G. M. Paldino, et al., “A Digital Twin Approach for Improving Estimation Accuracy in Dynamic Thermal Rating of Transmission Lines,” Energies, vol. 15, no. 6, pp. 2254, 2022. https://doi.org/10.3390/en15062254 . Accessed: 20.10.2025.

Ahmed L. Olatunji, “Prospects of using Dynamic Thermal Rating for a Reliable Power System Network: A Review,” 2021 IEEE International Future Energy Electronics Conference (IFEEC), Taipei, Taiwan, 16-19 November 2021, 2021. https://doi.org/10.1109/ifeec53238.2021.9661878 . Accessed: 20.10.2025.

L. L. Grigsby, Electric Power Generation, Transmission, and Distribution. Taylor & Francis Group, 2018. 789 p.

Y. Hase, Handbook of Power Systems Engineering with Power Electronics Applications. Chichester, UK: John Wiley & Sons, Ltd, 2012. https://doi.org/10.1002/9781118443156 . Accessed: 20.10.2025.

Т. Л. Кацадзе, Основи механічних розрахунків повітряних ліній електропередавання: підруч. Київ: КПІ ім. Ігоря Сікорського, вид-во «Політехніка», 2019, 336 с.

A. U. Mahin, et al., “Measurement and monitoring of overhead transmission line sag in smart grid: A review,” IET Generation, Transmission & Distribution. 2021. https://doi.org/10.1049/gtd2.12271 . Accessed: 20.10.2025.

Y. Chen, X. Ding, “A survey of sag monitoring methods for power grid transmission lines,” IET Generation, Transmission & Distribution, 2023. https://doi.org/10.1049/gtd2.12778 . Accessed: 20.10.2025.

X. Xiao, et al., “Research on Sag Online Monitoring System for Power Transmission Wire Based on Tilt Measurement,” International Journal of Smart Grid and Clean Energy, vol. 2, no. 1, pp. 6-11, 2013. Accessed: 20.10.2025.

S. Malhara, and V. Vittal, “Mechanical State Estimation of Overhead Transmission Lines Using Tilt Sensors,” IEEE Transactions on Power Systems, vol. 25, no. 3, pp. 1282-1290, 2010. https://doi.org/10.1109/tpwrs.2009.2038703 . Accessed: 20.10.2025.

Abstract views: 0

Published

2026-03-25

How to Cite

[1]
T. L. Katsadze, V. A. Bazhenov, N. V. . Buslova, O. M. . Yankoska, and K. M. Novikov, “Dynamic Model of Overhead Power Transmission Lines Charging Capacity Taking into Account Meteorological Factors”, Вісник ВПІ, no. 1, pp. 84–90, Mar. 2026.

Issue

Section

ENERGY GENERATION, ELECTRIC ENGINEERING AND ELECTROMECHANICS

Metrics

Downloads

Download data is not yet available.