Determination of optimal transformation ratios of power system transformers in conditions of incomplete information regarding the values of diagnostic parameters

Authors

  • Olexander Rubanenko Vinnytsia National Technical University Khmelnytske highway, 95, Vinnytsia, Ukraine, 21021, Ukraine https://orcid.org/0000-0001-5957-4146
  • Oleg Kazmiruk Vinnytsia National Technical University Khmelnytske highway, 95, Vinnytsia, Ukraine, 21021, Ukraine
  • Valentyna Bandura Vinnytsia National Agrarian University Soniachna str., 3, Vinnitsa, Ukraine, 21008, Ukraine https://orcid.org/0000-0001-8074-3020
  • Victor Matvijchuk Vinnytsia National Agrarian University Soniachna str., 3, Vinnitsa, Ukraine, 21008, Ukraine
  • Olena Rubanenko Vinnytsia National Agrarian University Soniachna str., 3, Vinnitsa, Ukraine, 21008, Ukraine https://orcid.org/0000-0002-2660-182X

DOI:

https://doi.org/10.15587/1729-4061.2017.108945

Keywords:

on-line diagnostics, optimal control, normal modes, active power losses.

Abstract

On the base of damage rate analysis of power transformers and methods of EES modes control, the necessity of using the results of on-line diagnostics of LTC transformers not only for determinations of the expediency of further operation or equipment repair but also for calculation of optimal transformation coefficients (with account of the suggested RRCT) for their application in the process of modes control has been proved.

The mathematical model of RRCT is developed to by applying the methods of neural-fuzzy modeling, this model, taking into account both current and retrospective values of diagnostic parameters enables to study the impact of diagnostic parameters of RRCT and determine its current value, which is necessary for automatic and automated reliable and optimal control of EES modes.

The improved method of determination of optimal control actions, realized by the LTC transformers by means of comparative analysis of the results of calculation of EES modes with quasi-resistances of the circuit branches, enables to select the transformer and calculate transformation ratios that provide minimal losses of active power, minimal amount of LTC switching.

The error of RRCT determination by means of the developed mathematical fuzzy model as compared with the training sample of the model and the opinion of independent experts does not exceed the error of the devices, measuring diagnostic parameters.

Such results are explained by complex usage of probability theory methods, neuro-fuzzy modeling and modern software Matlab.

Such peculiarity of the suggested method of determining optimal control actions by LTC transformers, as the account of RRCT, in the process of EES mode control provides such advantages as reduction of the damage rate of the equipment, reduction of active power losses in EES. The peculiarities of the method of determining optimal control actions by LTC transformers, with the account of their technical state, open up the prospects of development and introduction of modern microprocessor-based systems of optimal automatic control of LTC transformers in EES.

Usage of quasi-resistors of circuit branches, which, unlike the transformers, used for calculation of nominal resistances of the lines, take into account the state of the transformers and possible losses of utility companies due to the possible damages, enables to calculate the EES mode in case of transformers transformation ratio change and by means of comparison of calculated power losses, select the most efficient transformer.

Further progress of the given research includes the development of mathematical models of other kinds of high voltage equipment involved in the process of ESS modes control, damage of which is possible.

Author Biographies

Olexander Rubanenko, Vinnytsia National Technical University Khmelnytske highway, 95, Vinnytsia, Ukraine, 21021

PhD, Associate Professor

Department of Electric Stations and Systems

Oleg Kazmiruk, Vinnytsia National Technical University Khmelnytske highway, 95, Vinnytsia, Ukraine, 21021

PhD, Assistant

Department of Electric Stations and Systems

Valentyna Bandura, Vinnytsia National Agrarian University Soniachna str., 3, Vinnitsa, Ukraine, 21008

PhD, Associate Professor

Department of Processes and equipment processing and food production named after Prof. P. S. Bernik

Victor Matvijchuk, Vinnytsia National Agrarian University Soniachna str., 3, Vinnitsa, Ukraine, 21008

Doctor of Technical Sciences

Department of Electrical Engineering Systems, Technologies and Automation in Agroindustrial Complex

Olena Rubanenko, Vinnytsia National Agrarian University Soniachna str., 3, Vinnitsa, Ukraine, 21008

PhD

Department of Electrical Engineering Systems, Technologies and Automation in Agroindustrial Complex

References

  1. Jakushokas, R., Friedman, E. G. (2013). Power Network Optimization Based on Link Breaking Methodology. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 21 (5), 983–987. doi: 10.1109/tvlsi.2012.2201186
  2. Reddy, T., Gulati, A., Khan, M. I., Koul, R. (2012). Application of Phase Shifting Transformer in Indian Power System. International Journal of Computer and Electrical Engineering, 4 (2), 242–245. doi: 10.7763/ijcee.2012.v4.487
  3. Kolcun, M., Hluben, D., Bena, L., Djagarov, N., Grozdev, Z. (2010). Transformer use for active power flow control in the electric power system. 2010 9th International Conference on Environment and Electrical Engineering. doi: 10.1109/eeeic.2010.5489982
  4. Bocovich, M., Iyer, K., Terhaar, R. M., Mohan, N. (2013). Overview of series connected flexible AC transmission systems (FACTS). 2013 North American Power Symposium (NAPS). doi: 10.1109/naps.2013.6666915
  5. Constantin, C., Eremia, M., Toma, L. (2013). Power flow control solutions in the Romanian power system under high wind generation conditions. 2013 IEEE Grenoble Conference. doi: 10.1109/ptc.2013.6652353
  6. Alekseev, B. A. (2010). Large power transformers: state control in the process of operation and revision. Moscow: NТF «Energoprogress», 88.
  7. Rassalsky, A. M. Integrated approach to the diagnostics of high-voltage substation equipment 220–1150 kW under operating voltage in operation conditions. Electric engineering and electro mechanics, 4, 23–25.
  8. Stohniy, B. S., Sopel, M. F. (2013). Osnovy monitorynhu v elektroenerhetytsi. Pro poniattia monitorynhu. Tekhnichna elektrodynamika, 1, 62–69.
  9. Stohniy, B. S., Kyrylenko, O. V., Butkevych, O. F., Sopel, M. F. (2009). Zastosuvannia zasobiv monitorynhu perekhidnykh rezhymiv v OES Ukrainy pry rozviazanni zadach dyspetcherskoho keruvannia. Pratsi Instytutu elektrodynamiky Natsionalnoi akademiy nauk Ukrainy, 23, 147–155.
  10. Buslavets, O., Lezhniuk, P., Rubanenko, O. (2015). Evaluation and increase of load capacity of on-load tap changing transformers for improvement of their regulating possibilities. Eastern-European Journal of Enterprise Technologies, 2 (8 (74)), 35–41. doi: 10.15587/1729-4061.2015.39881
  11. Kylymchuk, A. В., Lezhnyuk, P. В., Rubanenko, O. Е. (2015). Reduction of Additional Losses of Electric Energy in Parallel Operating Non-Uniform Electrical Grids Taking into Account Non-Uniformity and Sensitivity. International Journal of Energy Policy and Management, 1 (1), 1–5.
  12. Lezhniuk, P. D., Rubanenko, O. Ye., Nikitorovych, O. V. (2012). Operatyvne diahnostuvannia vysokovoltnoho obladnannia v zadachakh optymalnoho keruvannia rezhymamy elektroenerhetychnykh system. Tekhnichna elektrodynamika, 3, 35–36.
  13. Evdokimov, S. A., Kondrashova, Y. N., Karandaeva, O. I., Gallyamova, M. S. (2016). Stationary System for Monitoring Technical State of Power Transformer. Procedia Engineering, 150, 18–25. doi: 10.1016/j.proeng.2016.07.270
  14. Bhutto, G. M., Bak, C. L., Ali, E. (2017). Controlled Operation of the Islanded Portion of the International Council on Large Electric Systems (CIGRE) Low Voltage Distribution Network. Energies, 10 (7), 1021. doi: 10.3390/en10071021
  15. Alekseev, B. A. (2002). Kontrol' sostoyaniya (diagnostika) krupnyh silovyh transformatorov. Moscow: Izd-vo NC EHNAS, 216.
  16. Tenbohlen, S., Vahidi, F., Gebauer, J. et. al. (2012). Zuverlassigke ist bewertung von Leistungs transformatoren: Materials of HS-Symposium. Universitat Stuttgart, 1-11.

Downloads

Published

2017-08-31

How to Cite

Rubanenko, O., Kazmiruk, O., Bandura, V., Matvijchuk, V., & Rubanenko, O. (2017). Determination of optimal transformation ratios of power system transformers in conditions of incomplete information regarding the values of diagnostic parameters. Eastern-European Journal of Enterprise Technologies, 4(3 (88), 66–79. https://doi.org/10.15587/1729-4061.2017.108945

Issue

Section

Control processes