Planning of maintenance of power transformers on the results of control of their frequency characteristics

Authors

  • M. Hryshchuk Vinnitsa National Technical University
  • O. Rubanenko Vinnitsa National Technical University
  • O. Rubanenko Vinnitsa National Technical University

Keywords:

diagnosis, technical state, power transformer, frequency-amplitude characteristics, deviation, FRA, windings, magnetic circuit, planning the day of diagnosis, forecasting

Abstract

On the basis of the analysis of literature sources it is shown that in the power system the power transformers (PT) -  is a costly and responsible type of electrical equipment. The method of the analysis of the frequency-amplitude characteristics (AFC) is considered. The AFC method is using the results of measurements of the amplitude values of the test signal response voltage and the test signal voltage. It determines the test signal transmission coefficient at different frequencies allows us to detect the deviation of this coefficient from its normalized values at the special value of frequencies. This value of frequency permit to identify damage that allows us to substantiate the technical condition of the transformer and elements. The least-squares method, the Gauss-Markov theorem and the covariance matrix were used to statistically estimate the parameters of the regression model obtained from the measurement results. The determined regression equation provides the smallest value of the sum of squares of the deviations of the measurement results from the calculated by the regression equation. On the example of one amplitude-frequency characteristic of the investigated PT by the location, an algorithm for determining the recommended time and date for the subsequent measurements of AFC is proposed, in order to reduce the risk of emergency mode and reduce the cost of operation of the PT by increasing the number of highly informative measurements.

A limit of 5 percent deviation is also determined at the frequency information interval, to further determine the probable intersection of the graphs at certain points, such a limit, in order to predict the probable damage of the windings.

References

Grishchuk, MA Substantiation of the optimal number of experiments for determination of AChE of a power transformer during its disconnection for the purpose of diagnosis. / Grishchuk, MA, Dmukhovsky, VP, Labzun, MP, Rubanenko, OE // Second All-Ukrainian Scientific and Technical Conference "Energy Efficiency and Energy Security of Power Systems (EEES-2018)". Collection of scientific works. Kharkiv: Madrid Printing House, 2018. 102 pp., 43.

Rubanenko, AE Rationale for detecting deformation defects of windings of a power transformer according to the results of FRA measurements. / Rubanenko, AE, Labzun, MP, Grishchuk, MA // Bulletin of the Kharkiv National Technical University of Agriculture named after Petro Vasylenko. –2017. –No 186. –P 103–106.

Alsuhaibani, S. A review of frequency response analysis methods for power transformer diagnostics./ Alsuhaibani, S., Khan, Y., Beroual, A., & Malik, NH // Energies, 9 (11), 879. –Doi: 10.3390 / en9110879

Balance Reliability of an Electric Network with Photoelectric Stations: Monograph // Lezhniuk PD, Komar VA, Kravchuk SV, Lesko VA, Netrebsky VV - Vinnitsa: VNTU, 2018. –136 p.

Rubanenko, AE Determination of transformer equipment defects using frequency diagnostic parameters [Text] / AE Rubanenko, MP Labzun, MO Grishchuk // Bulletin of NTU "KPI", Series: New solutions in modern technologies. - Kharkiv: NTU "KPI". - 2017. - No. 23 (1245). - P. 41-46. - doi: 10.20998 / 2413-4295.2017.23.07.

Tenbohlen, S. Zuverlässigkeitsbewertung von Leistungs transformatoren "(em inglês) / S. Tenbohlen, F. Vahidi, P. Müller, J. Gebauer, M. Krüger // Proc. Stuttgarter Hochspannungs symposium. - 2012. - P. 61-70.

Tenbohlen, S. Diagnostic measurements for power transformers / Tenbohlen, S., Coenen, S., Djamali, M., Müller, A., Samimi, M.H., & Siegel, M. // Energies. - 2016. - 9. - №. 5. P. 347. doi: 10.3390 / en9050347.

Yao, C. Transformer winding deformation diagnostic system using online high frequency signal injection by capacitive coupling./ Yao, C., Zhao, Z., Chen, Y., Zhao, X., Li, Z., Wang, Y., & Wei, G.// IEEE Transactions on Dielectrics and Electrical Insulation, 21 (4), 1486-1492.- DOI 10.1109 / TDEI.2014.004283

Islam, A. Detection of mechanical deformation in old aged power transformer using cross correlation co-efficient analysis method./Islam, A., Khan, SI, & Hoque, A.// Energy and Power engineering, 3 (04 ), 585. - doi: 10.4236 / epe.2011.34073

Abeywickrama, N. Effect of core magnetization on frequency response analysis (FRA) of power transformers. / Abeywickrama, N., Serdyuk, Y. V., & Gubanski, S. M.// IEEE Transactions on Power Delivery, 23 (3), 1432-1438. - DOI: 10.1109 / TPWRD.2007.909032

Alsuhaibani, S. A review of frequency response analysis methods for power transformer diagnostics. / Alsuhaibani, S., Khan, Y., Beroual, A., & Malik, N.// Energies, 9 (11), 879. - doi: 10.3390 / en9110879

Shintemirov, A. Transformer winding condition estimation using frequency response analysis and evidential reasoning. / Shintemirov, A., Tang, W. H., & Wu, Q. H.// IET Electric Power Applications, 4 (3), 198-212. - doi: 10.1049 / iet-epa.2009.0102

Miyazaki, S. Detection and quantitative diagnosis of axial displacement of transformer winding by frequency response analysis. / Miyazaki, S., Tahir, M., & Tenbohlen, S. // IET Generation, Transmission & Distribution, 13 (15), 3493-3500. - DOI: 10.1049 / iet-gtd.2018.6032

Sectoral guidance document. Testing norms for electrical equipment: approved and put into effect by the order of the Ministry of Fuel and Energy of Ukraine No. 13 of January 15, 2007 / SE “DonORGRES”, OJSC “LvivORGRES”; developers: G. Shkurinsky, V. Bocharov, V. Sprisa - K .: State standard of Ukraine, 2007. - 262 p.

Sebok, M. Thermal diagnostic systems and their application for winding transformer analysis. / Sebok, M., Kucera, M., Korenciak, D., & Gutten, M. // Diagnostyka, 20 (2), 49-55. - DOI: 10.29354 / diag / 105933

Published

2020-02-14

How to Cite

Hryshchuk, M., Rubanenko, O., & Rubanenko , O. (2020). Planning of maintenance of power transformers on the results of control of their frequency characteristics. Lighting Engineering & Power Engineering, 3(56), 92–98. Retrieved from https://lepe.kname.edu.ua/index.php/lepe/article/view/423