Abstract
Introduction. Ensuring reliable and efficient operation of electric power systems is one of the key tasks of modern energy. Of particular importance is the consideration of climatic factors, in particular the ambient temperature, which has a significant impact on the electrical parameters of overhead power lines. A change in temperature leads to a change in the active resistance of the conductors, which, in turn, affects power losses, voltage, and operating modes of electrical networks. Materials and methods. The paper uses computational and analytical methods and the RastrWin 3.0 software package for modeling electrical network modes. The object of the study is a section of the 110 kV Korgalzhyn – Krasnoznamenka electric grid. The calculations were carried out taking into account changes in ambient temperature in the range from -60°C to +60°C. The line parameters were determined based on reference data, followed by the calculation of active resistance, reactance and conductivity. Results and discussion. It has been found that an increase in ambient temperature leads to an increase in the active resistance of the conductors and, as a result, to an increase in power losses. The maximum losses are observed at a temperature of +60 °C and reach 3.95%. When the temperature drops to -60°C, the resistance of the conductors decreases, and the power loss decreases to 2.61%. It was also revealed that the temperature factor affects the magnitude of the voltage drop and the load on the network elements. Conclusions. The results of the study confirm the need to take into account real temperature conditions when calculating the modes of electrical networks. The use of temperature-dependent models makes it possible to improve the accuracy of calculations, reduce power losses, and improve the reliability of power systems.
01 Introduction
The full text of the article is available for download in PDF format on the right panel.
02 References
- Al’guliev R.M. (2025a). Modelirovanie energeticheskikh sistem [Modeling of energy systems]. — Baku: Elm. [in Russ.]
- Al’guliev R.M. (2025b). Vliyanie temperatury na elektroseti [Impact of temperature on power networks]. Energetika. 3. 200–210. [in Russ.]
- Ahmed S. & Singh S. (2018). Impact of temperature on conductor resistance. Energy Reports. 4. 237–243. https://doi.org/10.1016/j.egyr.2018.03.002
- Black W. & Strbac G. (2016). Value of dynamic line rating. Electric Power Systems Research. 130. 138–146. https://doi.org/10.1016/j.epsr.2015.09.018
- CIGRÉ Working Group B2.43. (2014). Guide for thermal rating calculations of overhead lines. Paris: CIGRÉ.ENTSO-E. (2020). Guideline for transmission system operation. Brussels.
- Fernandez E., Albizu I. & Bedialauneta M.T. (2017). Dynamic line rating systems. Renewable Energy. 113. 1301–1310. https://doi.org/10.1016/j.renene.2017.06.080
- Holmgren M. & Söder L. (2019). Increased transmission capacity using DLR // IEEE Transactions on Power Delivery. 34(3). 1051–1058. https://doi.org/10.1109/TPWRD.2018.2872156
- Kurbanov A.K. (2019). Elektroenergeticheskie sistemy i seti [Electric power systems and networks]. — A.: KazNTU. [in Russ.]
- Kim J. & Overbye T. (2019). Smart grid applications for transmission systems // IEEE Transactions on Smart Grid. 10(4). 4562–4571. https://doi.org/10.1109/TSG.2018.2873456
- Li H., Bo R. & Wang C. (2020). Temperature-dependent power flow analysis. IEEE Access. 8. 112233–112245. https://doi.org/10.1109/ACCESS.2020.3001234
- IEEE Power & Energy Society. (2018). Dynamic Line Rating for overhead lines. IEEE Standard. https://doi.org/10.1109/IEEESTD.2018.XXXXXXX
- Gustavsen B. (2017). Modeling of transmission lines // IEEE Transactions on Power Delivery. 32(2). 1231–1238. https://doi.org/10.1109/TPWRD.2016.2598123
- Saparov, K. T. (2020). Raschet liniy elektroperedachi [Transmission line calculations]. Astana: ENU. [in Russ.]
- Wang Y. et al. (2022). Real-time monitoring of transmission lines // Electric Power Systems Research. 205. https://doi.org/10.1016/j.epsr.2022.107663
- Yusov V.S. (2021). Analiz rezhimov raboty elektricheskikh setej [Analysis of power system operating modes]. — M.: Energoatomizdat. [in Russ.]
- Zhang P. & Li F. (2016). Probabilistic analysis of power systems // IEEE Transactions on Power Systems. 31(3). 2342–2351. https://doi.org/10.1109/TPWRS.2015.2459781
- Zhou X. et al. (2021). Thermal modeling of overhead conductors // International Journal of Electrical Power & Energy Systems. 125. https://doi.org/10.1016/j.ijepes.2020.106495