Development of a turn-to-turn fault detection method in the three-phase transformer's winding

THE PURPOSE. Reveal the regularities of turn-to-turn faults influence on to parameters of a three-phase network transformer in the disconnected transformer mode with the supply of control voltages and currents from an external source in the transformer linear operation. METHODS. To achieve the purpose, experimental studies were carried out on the power transformer (Trihal with a voltage of 20 / 0.4 kV) with an artificially created turn-to-turn fault, mathematical modeling and calculations of the three-phase transformer magnetic system parameters. RESULTS. Experimental measurements of the open circuit voltage were performed on the power transformer high voltage side by applying a three-phase positive sequence voltage to the transformer low voltage side. Similar measurements were carried out using a three-phase zero sequence current. The influence of the turn-to-turn fault on the magnetic system of the three-phase transformer with the application of voltages and currents of zero and direct sequences is investigated. A mathematical model of three-phase transformer magnetic system has been developed, which makes it possible to determine the change in the parameters of the transformer windings and to establish the relationship between the primary and secondary voltages and currents in conditions of the occurrence of а turn-to-turn fault. The parameters of the three-phase transformer magnetic system were calculated from the results of experimental measurements. CONCLUSION. An effective method for detecting turn-to-turn faults by measurements with the supply of zero sequence currents is proposed. A simplified model of the three-phase transformer magnetic system has been developed. This model allows us to qualitatively evaluate the changes in the transformer parameters when a turn-to-turn fault occurs. A model of turn-to-turn fault is proposed, which can be used to study the effect of turnto- turn fault on the transformer magnetic system.

1. Lvov MYu. Analiz povrezhdayemosti silovykh transformatorov napryazheniyem 110 kV i vyshe. Elektrichestvo. 2010; 2:27-31.

2. Rubtsov AV, Lukyanov MM. Analysis of failure of power distribution transformers. Elektrobezopasnost. 2014;1:19-32.

3. Zacharias D, Gokaraju R. Prototype of a Negative-Sequence Turn-to-Turn Fault Detection Scheme for Transformers. IEEE Transactions on power delivery. 2016;31(1):122-9. doi: 10.1109/TPWRD.2015.2483524.

4. Oliveira Luís MR, Marques Cardoso AJ. Comparing Power Transformer Turn-to-Turn Faults Protection Methods: Negative Sequence Component Versus Space Vector Algorithms. IEEE Transactions on Industry Applications. 2017;53(3):2817-25. doi: 10.1109/TIA.2016.2613506.

5. Novozhilov AN, Goryunov VN, Novozhilov TA. Protection of a single-phase transformer from interwinding failure in windings of integral magnetic transformers. Russian Electrical Engineering. 2018;89(2):118-121. doi: 10.3103/S1068371218020128.

6. Klimova TG, Smirnov VS. Turn fault modelling in the windings of a power transformer in the Matlab/ Simulink software package. Elektroenergiya. Peredacha i raspredeleniye. 2019; 55(4):98-105.

7. Aleksandr Atnishkin, Maksim Shirokin. Turn-to-turn faults modelling in the windings of power transformer. Trudy 7 mezhdunarodnoy nauchno-tekhnicheskoy konferentsii «Elektroenergetika glazami molodozhi»;19–23 sentyabrya 2016 g., Kazan'. Kazan': KGEU, 2016;1:293-294.

8. Bartli U. Obzor povrezhdeniy transformatorov. Energetika i menedzhment. 2011; 58(1):40-45.

9. Khrennikov AYU, Rubtsov AV, Peredel'skiy VA, et al. O povrezhdeniyakh obmotok silovykh transformatorov i diagnostike ikh geometrii metodom nizkovol'tnykh impul'sov. Elektro. Elektrotekhnika, elektroenergetika, elektrotekhnicheskaya promyshlennost'. 2004;5:13-18.

10. Atnishkin A.B. Adaptivnyye modifikatsii algoritma differentsial'noy zashchity transformatora. Dis. kand. tekhn. nauk. Cheboksary;2019.

11. Martinez JA, Mork BA. Transformer modeling for low and mid-frequency transients – a review. IEEE Trans. Power Del. 2005;20(2):1625-32. doi: 10.1109/TPWRD.2004.833884.

12. Kruzhayev AV, Yelagin IA, Pavleyno MA, et al. Komp'yuternoye modelirovaniye i eksperimental'noye issledovaniye perekhodnykh protsessov v odnofaznom transformatore napryazheniya. Zhurnal tekhnicheskoy fiziki. 2015;2:31-38.

13. Mejia-Barron A, Valtierra-Rodriguez M, Granados-Lieberman D. at al. The application of EMD-based methods for diagnosis of winding faults in a transformer using transient and steady state currents. Measurement. 2018;117:371-9. doi: 10.1016/j.measurement.2017.12.003.

14. Ramesh K, Sushama M. Inter-turn fault detection in power transformer using wavelets. International journal of emerging trends in electrical and electronics. 2014;10(10):1-5.

15. Guillen D, Olivares-Galvan JC, Escarela-Perez R, at al. Diagnosis of interturn faults of single-distribution transformers under controlled conditions during energization. Measurement. 2019;141:24-36. doi: 10.1016/j.measurement.2019.03.044.