004.5 : 621.331

energy storage, battery, supercapacitor, electric traction, modeling, Matlab Simulink

This paper presents the results of a study on the use of energy storage systems in electric traction systems, conducted using the Matlab Simulink software environment. The relevance of implementing energy storage systems lies in the current inability to fully utilize regenerated energy during braking. The analysis of available types of electrical energy storage devices reveals that several variants exist, each requiring specific charging parameters. By applying an analytical approach to modeling electric traction loads, various scenarios of integrating storage devices into subway power supply systems were examined. The simulation results demonstrate that, under cost constraints for the storage system, lithium-ion batteries provide the highest efficiency among the considered technologies.

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1.   Ministry of Communities and Territories Development of Ukraine. Statistical data on Ukrainian railways. Available at: https://web.archive.org/web/20221103103048/https://mtu.gov.ua/content/statistichni-dani-pro-ukrainski-zaliznici.html.
2.   Energy efficiency Technologies for Railways – Regenerative braking in DC systems. Available at: https://www.railway-energy.org/static/Regenerative_braking_in_DC_systems_103.php.
3.   Benefits and Application of Energy Storage Systems – Veolia UK. Available at: https://www.veolia. co.uk/benefits-and-applications-energy-storage-systems
4.   Rabobank. Energy storage and demand response as stabilizers in evolving US wholesale electricity markets. Rabobank Insights. 2023. Available at: https://research.rabobank.com.
5.   Siemens Mobility. Sitras Sidytrac is simulation software for traction power supply. Available at: https: //www.mobility.siemens.com/global/en/portfolio/digital-solutions-software/infrastructure/rail-electrification/ sidytrac.html.
6.   OpenPowerNet – Simulation software for traction power supply systems. Available at: https://www. openpowernet.de/.
7.   Xue D., Pan F. (2024). MATLAB and Simulink in Action: Programming, Scientific Computing and Simulation. Springer, Singapore.
8.   Qi Z., Koenig G. M. (2017) Nanotechnology and Microelectronics: Materials, Processing, Measurement, and Phenomena. J. Vac. Sci. Technol. B., vol. 35, no. 4. Available at: https://pubs.aip.org/avs/jvb/article/ 35/4/040801/592713.
9.   Sterner M., Stadler I. (2019). Handbook of Energy Storage. Springer-Verlag GmbH Germany. Doi: https: //doi.org/10.1007/978-3-662-55504-0.
10. Liu W. (2017). Hybrid electric vehicle system modelling and control. Wiley, 584 p.
11. Sablin O. et al. (2022) Efficiency of Energy Storage Control in the Electric Transport Systems. Arch. Transp, vol. 62, no. 2, pp. 105–122. Doi: https://doi.org/10.5604/01.3001.0015.9569,
12. Riabov B., Liubarskyi I., Overianova L. et al. Mathematical Model of the Electric Traction System of Quarry Railway Transport. Transport Means 2022: Proc. of the 26th Int. Sci. Conf., Kaunas: KUT, 2022. Pt. 1. P. 330–335.
13. Riabov I., Goolak S., Neduzha L. (2024) An Estimation of the Energy Savings of a Mainline Diesel Locomotive Equipped with an Energy Storage Device. Vehicles, vol. 6, pp. 611–631. Doi: https://doi. org/10.3390/vehicles6020028.
14. Amiryar M. E., Pullen K. R. (2017) A Review of Flywheel Energy Storage System Technologies and Their Applications. Appl. Sci, vol. 7. Article 286. Doi: https://doi.org/10.3390/app7030286.
15. Jakubowski A. et al. (2021) Modeling of Electrified Transportation Systems Featuring Multiple Vehicles and Complex Power Supply Layout. Energies, vol. 14. Article 8196. Available at: https://doi.org/10. 3390/en14248196.
16. Xiao Z. et al. (2020) Modeling and Energy-Optimal Control for High-Speed Trains // IEEE Trans. Transp. Electrif, vol. 6, pp. 797–807.
17. Kondratieva L. et al. (2024) Reduction of Energy Consumption by Electric Rolling Stock of Quarry Railways. In: Proceedings of the Int. Conf. Sustainable Solutions in Energy and Environment. Springer, pp. 573–584. Doi: https://doi.org/10.1007/978-3-031-52652-7_51.
18. Kuznetsov V. et al. (2024) Progress and Challenges Connected with the Integration of Renewable Energy Sources with Railway Distribution Networks. Energies, vol. 17. Article 489. Available at: https://doi.org/ 10.3390/en17020489.
19. Gotovych V., Nazarevych O., Shcherbak L. (2018) Mathematical modeling of the regular-mode electric power supply and electric power consumption processes of the organization. Scientific Journal of TNTU, vol. 91, no. 3, pp. 134–142.