Comprehensive approach to modeling dynamic processes in the system of underground rail electric traction

Authors

DOI:

https://doi.org/10.15587/1729-4061.2019.154520

Keywords:

imitation simulation, underground rail system, traction power supply, electric train, traction induction electric drive

Abstract

An analysis of tasks on improving energy efficiency of electric traction systems reveals the need for the introduction of new technologies, namely modern rolling stock with a traction asynchronous electric drive, as well as traction substations, based on new technologies. To solve this class of problems, we have defined the need for an integrated simulation model of the electric traction system that would ensure a sufficient level of its reliability.

This work reports details of algorithms for calculating the parameters in order to develop a simulation model of the integrated electric traction system of an underground rail system, which consists of electricity supply subsystems, electric drive of rolling stock, and mechanical part of the traction transmission.

In the programming environment Matlab/Simulink, based on the known, actual and refined, estimation parameters, we developed a simulation model of the system of traction electric supply to an underground rail with a two-way power to two tracks. We have constructed a simulation model of the modern traction electric drive of the underground rail cars with a vector system to control an asynchronous electric drive and a uni-mass mechanical part, capable of taking into consideration the impact of the coefficient of adhesion.

We have compared results from the imitational simulation of dynamic processes with oscillograms for the actual operation modes of an underground rail system, which confirmed the adequacy of the model to the examined object. The correspondence between results obtained from simulation is confirmed by the oscillograms from analysis of voltage and current of the contact network, as well as by characteristics of the traction and braking modes of rolling stock.

We have simulated processes of work of the power supply system, a nonstationary regime at deterioration of adhesion conditions, and a recuperative braking mode with energy transferred to other trains.

Using the developed model of the integrated system of electric traction would contribute to a more detailed study into the mutual influence of elements in the electric traction system. That would make it possible to improve the efficiency of making technical decisions related to meeting safety requirements, preventing the disruptions of normal operation, and bringing down operating costs

Author Biographies

Sergiy Yatsko, Ukrainian State University of Railway Transport Feierbakha sq., 7, Kharkiv, Ukraine, 61050

PhD, Associate Professor

Department of Electric Power Engineering, Electrical Engineering and Electromechanics

Borys Sytnik, Ukrainian State University of Railway Transport Feierbakha sq., 7, Kharkiv, Ukraine, 61050

PhD, Associate Professor

Department of Information Technologies

Yaroslav Vashchenko, Ukrainian State University of Railway Transport Feierbakha sq., 7, Kharkiv, Ukraine, 61050

PhD, Senior Lecturer

Department of Electric Power Engineering, Electrical Engineering and Electromechanics

Anatoly Sidorenko, Ukrainian State University of Railway Transport Feierbakha sq., 7, Kharkiv, Ukraine, 61050

Postgraduate student

Department of Electric Power Engineering, Electrical Engineering and Electromechanics

Borys Liubarskyi, National Technical University «Kharkiv Polytechnic Institute» Kyrpychova str., 2, Kharkiv, Ukraine, 61002

Doctor of Technical Sciences, Professor

Department of Electrical Transport and Diesel Locomotive

Ievgenii Veretennikov, National Technical University «Kharkiv Polytechnic Institute» Kyrpychova str., 2, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department of Information Technologies and Systems of Wheeled and Tracked Vehicles named after O. O. Morozova

Marina Glebova, O. M. Beketov National University of Urban Economy in Kharkiv Marshala Bazhanova str., 17, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department of Alternative Electric Power Engineering and Electrical Engineering

References

  1. Basov, H. H., Yatsko, S. I. (2005). Rozvytok elektrychnoho motorvahonnoho rukhomoho skladu. Ch. 2. Kharkiv: «Apeks+», 248.
  2. Yatsko, S., Karpenko, N., Vashchenko, Y., Panchenko, V. (2017). Development of equipment for distribution devices power traction electric supply. Part I. Collected scientific works of Ukrainian State University of Railway Transport, 172, 37–48. doi: https://doi.org/10.18664/1994-7852.172.2017.116689
  3. Liubarskyi, B., Petrenko, А., Shaida, V., Maslii, A. (2017). Analysis of optimal operating modes of the induction traction drives for establishing a control algorithm over a semiconductor transducer. Eastern-European Journal of Enterprise Technologies, 4 (8 (88)), 65–72. doi: https://doi.org/10.15587/1729-4061.2017.109179
  4. Liubarskyi, B., Petrenko, О., Iakunin, D., Dubinina, O. (2017). Optimization of thermal modes and cooling systems of the induction traction engines of trams. Eastern-European Journal of Enterprise Technologies, 3 (9 (87)), 59–67. doi: https://doi.org/10.15587/1729-4061.2017.102236
  5. Su, S., Tang, T., Wang, Y. (2016). Evaluation of Strategies to Reducing Traction Energy Consumption of Metro Systems Using an Optimal Train Control Simulation Model. Energies, 9 (2), 105. doi: https://doi.org/10.3390/en9020105
  6. Sulym, A. (2015). On the question of a reasonability of capacitive storages use in the metro. Elektromekhanichni i enerhozberihaiuchi systemy, 1 (29), 94–100.
  7. Yu, L., He, J. H., Hu, J., Bo, Z. Q., Li, M. X., Yip, T., Klimek, A. (2010). Accurate track modeling for fault current on DC railways based on MATLAB/Simulink. IEEE PES General Meeting. doi: https://doi.org/10.1109/pes.2010.5590135
  8. Panchenko, V. V. (2013). Dynamic properties of system «rectifier with buck converter – load». Eastern-European Journal of Enterprise Technologies, 4 (8 (64)), 14–17. Available at: http://journals.uran.ua/eejet/article/view/16445/13927
  9. Sablin, O. I. (2014). Study of the efficiency of the electric energy recovery process in the subway. Eastern-European Journal of Enterprise Technologies, 6 (8 (72)), 9–13. doi: https://doi.org/10.15587/1729-4061.2014.30483
  10. Gao, Z., Fang, J., Zhang, Y., Jiang, L., Sun, D., Guo, W. (2015). Control of urban rail transit equipped with ground-based supercapacitor for energy saving and reduction of power peak demand. International Journal of Electrical Power & Energy Systems, 67, 439–447. doi: https://doi.org/10.1016/j.ijepes.2014.11.019
  11. Tian, Z., Hillmansen, S., Roberts, C., Weston, P., Chen, L., Zhao, N. et. al. (2014). Modeling and simulation of DC rail traction systems for energy saving. 17th International IEEE Conference on Intelligent Transportation Systems (ITSC). doi: https://doi.org/10.1109/itsc.2014.6958067
  12. Du, F., He, J. H., Yu, L., Li, M. X., Bo, Z. Q., Klimek, A. (2010). Modeling and Simulation of Metro DC Traction System with Different Motor Driven Trains. 2010 Asia-Pacific Power and Energy Engineering Conference. doi: https://doi.org/10.1109/appeec.2010.5448372
  13. Verhille, J. N., Bouscayrol, A., Barre, P. J., Hautier, J. P. (2006). Model validation of the whole traction system of an automatic subway. 2006 IEEE Vehicle Power and Propulsion Conference. doi: https://doi.org/10.1109/vppc.2006.364346
  14. Ferrari, A., Fantechi, A., Magnani, G., Grasso, D., Tempestini, M. (2013). The Metrô Rio case study. Science of Computer Programming, 78 (7), 828–842. doi: https://doi.org/10.1016/j.scico.2012.04.003
  15. Mayet, C., Horrein, L., Bouscayrol, A., Delarue, P., Verhille, J.-N., Chattot, E., Lemaire-Semail, B. (2014). Comparison of Different Models and Simulation Approaches for the Energetic Study of a Subway. IEEE Transactions on Vehicular Technology, 63 (2), 556–565. doi: https://doi.org/10.1109/tvt.2013.2280727
  16. Buriakovskyi, S., Babaiev, M., Liubarskyi, B., Maslii, A., Karpenko, N., Pomazan, D. et. al. (2018). Quality assessment of control over the traction valve-inductor drive of a hybrid diesel locomotive. Eastern-European Journal of Enterprise Technologies, 1 (2 (91)), 68–75. doi: https://doi.org/10.15587/1729-4061.2018.122422
  17. Mayet, C., Delarue, P., Bouscayrol, A., Chattot, E., Verhille, J.-N. (2014). Dynamic Model and Causal Description of a Traction Power Substation Based on 6-Pulse Diode Rectifier. 2014 IEEE Vehicle Power and Propulsion Conference (VPPC). doi: https://doi.org/10.1109/vppc.2014.7007054
  18. 000.000 RE. Vagony metropolitena modeley 81-7036 i 81-7037. Rukovodstvo po ekspluatacii (2016). Kremenchug, 115.
  19. Zhao, X., Liu, H., Zhang, J., Zhang, H. (2013). Simulation of Field Oriented Control in Induction Motor Drive System. TELKOMNIKA Indonesian Journal of Electrical Engineering, 11 (12). doi: https://doi.org/10.11591/telkomnika.v11i12.3674
  20. METRO KIEV. General specification for electric equipment (2009). Warszawa, 51.
  21. Retune the Drive Parameters. Available at: https://www.mathworks.com/help/physmod/sps/powersys/ug/advanced-users-retune-the-drive-parameters.html
  22. Sytnik, B. T., Yac'ko, S. I., Bryksin, V. A., Mihaylenko, V. S., Uskov, Yu. P. (2012). Adaptivnoe upravlenie v diskretnyh sistemah vysokogo poryadka s zapazdyvaniem. Chast' 3. Sintez adaptivnogo chastotno-impul'snogo PI-regulyatora s optimizaciey parametrov nastroyki na osnove kriteriya garantirovannoy stepeni ustoychivosti. Collected scientific works of Ukrainian State University of Railway Transport, 128, 182–192.

Downloads

Published

2019-01-22

How to Cite

Yatsko, S., Sytnik, B., Vashchenko, Y., Sidorenko, A., Liubarskyi, B., Veretennikov, I., & Glebova, M. (2019). Comprehensive approach to modeling dynamic processes in the system of underground rail electric traction. Eastern-European Journal of Enterprise Technologies, 1(9 (97), 48–57. https://doi.org/10.15587/1729-4061.2019.154520

Issue

Vol. 1 No. 9 (97) (2019): Information and controlling system

Section

Information and controlling system

License

Copyright (c) 2019 Sergiy Yatsko, Borys Sytnik, Yaroslav Vashchenko, Anatoly Sidorenko, Borys Liubarskyi, Ievgenii Veretennikov, Marina Glebova

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.