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Saving energy resources during operation of rolling stock of underground electrified transport

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Category: Content №5 2024

Last Updated on 29 October 2024

Published on 30 November -0001

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Authors:

A.Sulym, orcid.org/0000-0001-8144-8971, State enterprise “Ukrainian Scientific Railway Car Building Research Institute”, Kremenchuk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.Bialobrzheskyi, orcid.org/0000-0003-1669-4580, Kremenchuk Mykhailo Ostrohradskyi National University, Kremenchuk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

P.Khozia, orcid.org/0000-0001-8948-6032, State enterprise “Ukrainian Scientific Railway Car Building Research Institute”, Kremenchuk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

A.Lomonos*, orcid.org/0000-0002-5001-1280, Kremenchuk Mykhailo Ostrohradskyi National University, Kremenchuk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (5): 065 - 070

https://doi.org/10.33271/nvngu/2024-5/065

Abstract:

Purpose. To analyze the energy saving reserves under the conditions of implementation and integration of the system in order to find rational driving modes in the general system of managing underground electrified transport.

Methodology. The work presents the method for processing data arrays obtained experimentally with the help of a measuring system and theoretically with the use of the “Rational Trajectory” software.

Findings. Experimental studies were carried out using a testing system created on the basis of a refurbished train with energy recovery system. Theoretical studies were carried out using the “Rational Trajectory” software, which is based on the principle of solving a multi-criteria problem by the method of the main criterion. The minimum amount of electricity consumption from the overhead contact line was chosen as the main criterion. The software was developed in the LabVIEW graphical programming environment in order to determine the rational modes of driving rolling stock and energy indicators in a given area of its operation. The amount of electricity consumed for traction and the amount of electricity generated by the train during regenerative braking were determined based on the results of experimental and theoretical studies, respectively, under typical and rational modes of driving the train for given identical operating conditions.

Originality. Further research on the analysis of energy saving reserves on the rolling stock of underground electrified transport was achieved due to the introduction of a system for finding a rational driving mode.

Practical value. It has been established that the implementation and incorporation of the “Rational Trajectory” software into the train control system will save up to 14.7 % of the amount of electricity consumed for traction, compared to typical modes operation on a given track section.

Keywords: energy saving, energy resources, underground electrified transport, rolling stock, control system

References.

1. Intelligent Transport Systems (ITS) for sustainable mobility. (February 2012). UN, Economic Commission for Europe, UNECE. Geneva.

2. Verkhovna Rada of Ukraine (n.d.). National transport strategy of Ukraine for the period until 2030. Retrieved from https://zakon.rada.gov.ua/laws/show/430-2018-%D1%80#Text.

3. Bohomazova, V. M., & Kvasha, T. K. (2020). Analysis of promising world scientific and technological directions of research for the goal of sustainable development No. 9 regarding the transport sector using the tools of the “Web of Science” and “Derwent Innovation” platforms: a scientific and analytical note. Kyiv: UkrINTEI.

4. Kichkin, O. V., & Kichkina, O. I. (2021). Mathematical formalization of the intelligent traction control system of the train on the movement section. Naukovi visti Dalivskoho Universutetu, 20. https://doi.org/10.33216/ 2222-3428-2021-20-4.

5. Kyslyi, D. M. (2016). Determination of energy-saving modes of driving trains. Nauka ta prohres transportu. Visnyk DNUZT im. V. Lazariana, 1(61), 71-84. https://doi.org/10.15802/ stp2016/60983.

6. Kyslyi, D. M., Desiak, A. Y., Bobyr, D. V., & Bodnar, E. B. (2023). Determination of energy-optimized locomotive control during train acceleration. Nauka ta prohres transportu. Visnyk DNUZT im. V. Lazariana, 4(104), 13-24. https://doi.org/ 10.15802/stp2023/298573.

7. Petrenko, O., Liubarskiy, B., & Pliugin, V. (2017). Determination of railway rolling stock optimal movement modes. Electrical Engineering & Electromechanics, 6, 27-31. https://doi.org/10.20998/2074-272X.2017.6.04.

8. Liubarskyi, B. H. (2015). Rational speed modes of movement of a metro electric train with asynchronous traction motors. Visnyk Natsionalnoho Tekhnichnoho Universytetu “Kharkivskyi politekhnichnyi instytut”, 18(1127), 86-92. Kharkiv: NTU “KhPI”.

9. Barybin, M. A., Falendysh, A. P., Kletska, O. V., Ivanchenko, D. A., & Kiritseva, O. V. (2021). Improvement of traction calculations and driving modes of traction rolling stock. Nauka ta prohres transportu. Visnyk DNUZT im. V. Lazariana, 5(95), 71-83.

10. Prytula, M. G., & Pasechnyk, O. A. (2018). Development of the formation algorithms for energy-optimized trains traffic modes. Nauka ta prohres transportu. Visnyk DNUZT im. V. Lazariana, 6(78), 82-100. https://doi.org/10.15802/stp2018/154641.

11. Soroka, K. O., Pavlenko, T. P., & Lychov, D. A. (2017). System for automatic selection of the speed rate of electric vehicles for reducing the power consumption. Visnyk DNUZT im. V. Lazariana, 3(69), 77-91. https://doi.org/10.15802/stp2017/104360.

12. Ye, H., & Liu, R. (2017). Nonlinear programming methods based on closed-form expressions for optimal train control. Transportation Research. Part C: Emerging Technologies, 82, 102-123. https://doi.org/10.1016/j.trc.2017.06.011.

13. Palant, O. Iu., & Stamatin, V. V. (2019). Overview of the Existing and Promising Automatic Train Operation Systems for Underground. Problemy ekonomiky, 2(40), 119-125. https://doi.org/10.32983/2222-0712-2019-2-119-125.

14. Yatsko, S., Vashchenko, Ya., & Sidorenko, A. (2019). Development of strategies for reducing traction energy consumption by electric rolling stock. Computational problems of electrical engineering, 9(1), 44-52. https://doi.org/10.23939/jcpee2019.01.044.

15. Yatsko, S., Sidorenko, A., Vashchenko, Ya., Lyubarskyi, B., & Yeritsyan, B. (2019). Method to improve the efficiency of the traction rolling stock with onboard energy storage. International Journal of Renewable Energy Research, 9(2), 848-858.

16. Sulym, A., Fomin, О., Khоzia, P., Palant, O., & Stamatin, V. (2019). Development of a comprehensive approach to determining the rational parameters of an onboard capacitive energy accumulator for a subway train. Eastern-European Journal of Enterprise Technologies, 3(102), 28-38. https://doi.org/10.15587/1729-4061.2019.183304.

17. Sulym, А. (2020). Theory development for determination of rational parameters of the capacitive energy storage for a metro train. IOP Conference Series: Materials Science and Engineering, 985, 012032. https://doi.org/10.1088/1757-899X/985/1/012032.

18. Getman, G. K. (2010). Theory of electric traction: monograph. (Vols. 2). Dnipro: Izdatelstvo Dnepropetrovskogo nats. universiteta zheleznodorozhnogo transporta im. akad. V. Lazaryana. ISBN: 978-966-15017-64-6.

19. Kostin, N. A., & Nikytenko, A. V. (2014). Autonomy of recuperative braking as the basis of reliable energy-efficient recuperation on electromotive components of direct current. Zaliznychnyi transport Ukrainy, 3, 15-23.

20. Sulym, A., Siora, O., Melnyk, O., Khozia, P., & Tretiak, E. (2020). Development of knowware and software to identify a rational mode of driving the metro train. Visnyk Skhidnoukrainskoho Natsionalnoho Universytetu imeni Volodymyra Dalia, 5(261), 57-66. https://doi.org/10.33216/1998-7927-2020-261-5-57-66.

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