Defining energy indicators for detecting short circuits in a dc electric traction system

Authors

DOI:

https://doi.org/10.15587/1729-4061.2019.180796

Keywords:

transitional process, short circuit, energy losses, energy indicators, spectral analysis

Abstract

It has been proposed to use power losses as an additional energy parameter to complement basic energy indicators in determining the short circuit mode in a traction power grid. Three techniques have been reported to determine the transitional characteristics of an electrical network, which are based on methods of approximation, discrete electrical engineering, and spectral analysis. The need to construct these methods is predetermined by the non-stationarity and nonlinearity of electrical parameters for traction networks, which could form uncertainty in the moment of a short circuit occurrence.

The input data to determine the energy characteristics and losses are the functions of transitional voltage and transitional current, measured at the clamps of the switchgear to which power conductors of the traction network are connected. Based on the experimental measurements and the reported methods, we have calculated basic energy parameters of the network, as well as losses, at different short circuits.

Results of our calculations show that during short circuits in a traction network the quantitative values of energy indicators and unproductive losses make it possible to unambiguously assess the mode of network operation. The obtained results also make it possible to determine the actual load on protective switching devices at short circuits in a traction network.

The proposed methods could be applied when developing computer models of traction networks in order to study them and perform engineering calculations. They could also be applied while designing new or reconstructing current DS traction networks, in order to more accurately substantiate design solutions. In addition, the proposed methods could be employed when constructing new or improving the existing samples of protective switching equipment

Author Biographies

Pavel Mikhalichenko, Kherson Branch of the National University of Shipbuilding named after Admiral Makarov Ushakova ave., 44, Kherson, Ukraine, 73022

Doctor of Technical Sciences, Head of Department

Department of Automation and Electrical Equipment

Victor Nadtochii, Kherson Branch of the National University of Shipbuilding named after Admiral Makarov Ushakova ave., 44, Kherson, Ukraine, 73022

PhD

Department of Automation and Electrical Equipment

Anatoly Nadtochiy, Kherson Branch of the National University of Shipbuilding named after Admiral Makarov Ushakova ave., 44, Kherson, Ukraine, 73022

PhD

Department of Automation and Electrical Equipment

References

  1. Popescu, M., Bitoleanu, A. (2019). A Review of the Energy Efficiency Improvement in DC Railway Systems. Energies, 12 (6), 1092. doi: https://doi.org/10.3390/en12061092
  2. Serrano, J., Platero, C., López-Toledo, M., Granizo, R. (2015). A Novel Ground Fault Identification Method for 2 × 5 kV Railway Power Supply Systems. Energies, 8 (7), 7020–7039. doi: https://doi.org/10.3390/en8077020
  3. Qian, C., He, Z., Gao, Z., Wang, B. (2014). Analysis of magnetic environment characteristics for high-speed railway all-parallel AT traction network with short circuit. Electric Power Automation Equipment, 34 (3), 155–161. doi: http://doi.org/10.3969/j.issn.1006-6047.2014.03.026
  4. Baciu, I., Cuntan, C., Deaconu, S., Iordan, A. (2010). Study of the d.c. motors' behavior from the componency of electric traction systems in short-circuit regime. 14th, WSEAS international conference on systems, 331–335.
  5. Kostin, M. O., Mykhalichenko, P. Ye., Petrov, A. V. (2009). Znyzhennia neproduktyvnykh vtrat elektroenerhiyi - naivazhlyvisha zadacha pidvyshchennia efektyvnosti elektrospozhyvannia systemamy elektrychnoi tiahy. Zaliznychnyi transport Ukrainy, 2, 43–44.
  6. Lang, B., Wu, M. (2009). Harmonics model of traction network and its simulation. Automation of Electric Power Systems, 17, 76–80.
  7. Alnuman, H., Gladwin, D., Foster, M. (2018). Electrical Modelling of a DC Railway System with Multiple Trains. Energies, 11 (11), 3211. doi: https://doi.org/10.3390/en11113211
  8. Kostin, M. O. (2006). Metody vyznachennia potuzhnostei v systemakh zi stokhastychnymy elektroenerhetychnymy protsesamy. Tekhnichna elektrodynamika, 6, 3–8.
  9. Liubarskyi, B., Demydov, A., Yeritsyan, B., Nuriiev, R., Iakunin, D. (2018). Determining electrical losses of the traction drive of electric train based on a synchronous motor with excitation from permanent magnets. Eastern-European Journal of Enterprise Technologies, 2 (9 (92)), 29–39. doi: https://doi.org/10.15587/1729-4061.2018.127936
  10. Zharkov, Yu. I., Popova, N. A., Figurnov, E. P. (2019). Accounting power supply schemes for traction substations in the calculation of short circuits in the AC traction network. Vestnik of the Railway Research Institute, 78 (1), 10–18. doi: https://doi.org/10.21780/2223-9731-2019-78-1-10-18
  11. Fryse, S. (1932). Wirk – Blind – und Scheinleistung in elektrischen stromkreisen min nichtsinusformigen Verfaf von Strom und Spannung. Elektrotechn. Z., 25, 596–599.
  12. Petrov, A. V. (2010). Methods of spectral analysis of random process fluctuations of voltage and current feeder traction substation DC. Visnyk DNUZT, 34, 77–80.
  13. Mykhalichenko, P. Ye. (2012). Rezultaty eksperymentalnykh doslidzhen rezhymiv korotkoho zamykannia u tiahoviy merezhi postiynoho strumu. Visnyk DNUZT, 41, 81–85.

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Published

2019-10-15

How to Cite

Mikhalichenko, P., Nadtochii, V., & Nadtochiy, A. (2019). Defining energy indicators for detecting short circuits in a dc electric traction system. Eastern-European Journal of Enterprise Technologies, 5(8 (101), 6–14. https://doi.org/10.15587/1729-4061.2019.180796

Issue

Section

Energy-saving technologies and equipment