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Planning of the experiment for the defining of the technical state of the transformer by using amplitude-frequency characteristic

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PL
Planowanie eksperymentu przy określaniu stanu technicznego transformatora mocy
Języki publikacji
EN
Abstrakty
EN
The article analyzes existing methods of diagnosing power transformers (PTs). The technique of experiment planning using D-optimal plans is investigated. According to the results of the study, a D-optimal plan of the frequency response measurements was created, which defines the algorithm of the studies. On the example of PT type TMG 1000/10 it is determined that 13 measurements are required to evaluate the condition of the PT during the interpretation of the results of the frequency response measurements. The method of determining the average frequency characteristic of PT is given. This amplitude-frequency characteristic can be used to check the PT status and to detect damage at an early stage of their development.
PL
Artykuł analizuje istniejące metody diagnozowania transformatorów mocy (TM). Badana jest technika planowania eksperymentu z wykorzystaniem planów optymalnych. Zgodnie z wynikami badań opracowano optymalny D-plan pomiarów odpowiedzi częstotliwościowej, który określa algorytm badań. Na przykładzie TM typu TMG 1000/10 ustalono, że do oceny stanu TM podczas interpretacji wyników pomiarów odpowiedzi częstotliwościowej potrzeba 13 pomiarów. Podano metodę wyznaczania charakterystyki średniej częstotliwości TM. Ta charakterystyka amplitudowo-częstotliwościowa może być u żywana do sprawdzania stanu TM i wykrywania uszkodzeń na wczesnym etapie ich rozwoju.
Rocznik
Strony
118--124
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
  • Vinnytsya National Technical University, Department of Electric Stations and Systems, St. Voyiniv Internatsionalistiv,9, Vinnytsya
  • Vinnytsya National Technical University, Department of Electric Stations and Systems, St. Voyiniv Internatsionalistiv,9, Vinnytsya
  • Regional Innovational Center at the Faculty of Electrical Engineering University of West Bohemia/ Czech Republic
Bibliografia
  • [1] Rubanenko, O E, et al. Rationale of the optimal quantity of the examination for determination of action of the power transformer during it's discontinuation with the purpose of diagnosis. Collection of scientific works. Kharkiv: Madrid Printing House, 2018. 102 p. (2018): 43.
  • [2] Sectoral guidance document. Testing norms for electrical equipment [Text]: Approved and enforced by the order of the Ministry of Fuel and Energy: State standard of Ukraine, 2007. - 262 p.
  • [3] Sebok, M., Kucera, M., Korenciak, D., & Gutten, M. (2019). Thermal diagnostic systems and their application for analysis of transformer winding. Diagnostyka, 20(2), 49-55.
  • [4] Islam, A., Khan, S. I., & Hoque, A. (2011). Detection of mechanical deformation in old aged power transformer using cross correlation co-efficient analysis method. Energy and Power engineering, 3(04), 585.
  • [5] Miyazaki, S., Tahir, M., & Tenbohlen, S. (2019). Detection and quantitative diagnosis of axial displacement of transformer winding by frequency response analysis. IET Generation, Transmission & Distribution, 13(15), 3493-3500.
  • [6] Shintemirov, A., Tang, W. H., & Wu, Q. H. (2010). Transformer winding condition assessment using frequency response analysis and evidential reasoning. IET Electric Power Applications, 4(3), 198-212.
  • [7] Yao, C., Zhao, Z., Chen, Y., Zhao, X., Li, Z., Wang, Y., ... & Wei, G. (2014). Transformer winding deformation diagnostic system using online high frequency signal injection by capacitive coupling. IEEE Transactions on Dielectrics and Electrical Insulation, 21(4), 1486-1492.
  • [8] Rahimpour, E., & Tenbohlen, S. (2010). Experimental and theoretical investigation of disc space variation in real highvoltage windings using transfer function method. (Tenbohlen, S., et al. "Zuverlässigkeits bewertung von leistungs transformatoren." inglês) IET electric power applications, 4(6), 451-461, Proc. Stuttgarter Hochspannungssymposium (2012).)
  • [9] Contin, Alfredo, et al. "Frequency-response analysis of power transformers by means of fuzzy tools." IEEE Transactions on Dielectrics and Electrical Insulation 18.3 (2011): 900-909.
  • [10] Abeywickrama, N., Serdyuk, Y. V., & Gubanski, S. M. (2008). Effect of core magnetization on frequency response analysis (FRA) of power transformers. IEEE Transactions on Power delivery, 23(3), 1432-1438.
  • [11] S. A. Ryder, "Methods for comparing frequency response analysis measurements," in Proceedings of International Symposium on Electrical Insulation, Boston, MA, 2003, pp. 187-190.
  • [12] M. Wang, A. J. Vandermaar, and K. D. Srivastava, "Improved detection of power transformer winding movement by extending the FRA high frequency range," IEEE Transactions on Power Delivery, vol. 20, pp. 1930-1938, 2005.
  • [13] Bardyk, E.I., Kosterev, M.V.; Bolototnyy, M.P. Probabilisticstatistical modeling of the EES for estimation of the risk of failure of the power transformer for short circuit in the electrical network. Bulletin of Vinnitsa Polytechnic Institute, 2016, 2: 106- 110.
  • [14] Lezhnyuk P. D., Rubanenko O. E., Lukyanenko Y. V., Fundamentals of Experimental Planning Theory. Laboratory Workshop - Vinnitsa: VNTU, 2005.-167 p.
  • [15] Rubanenko E. O., Komar V. O., Petrushenko O. Y., Smolarz A., Smailova S., Imanbekova U. Determination of similarity criteria in optimization tasks by means of neuro-fuzzy modelling. Przegląd Elektrotechniczny. 2017. R. 93, nr 3. P. 93 - 96. DOI 10.15199/48.2017.03.22
  • [16] P. Lezhniuk, S. Kravchuk, O. Buslavets. Selfoptimization Modes of Electric Grids with Renewable Energy Sources Using the Principle of Least Action // 2019 IEEE 6th International Conferenceon Energy Smart Systems (ESS). 2019. DOI: 10.1109/ESS.2019.8764181
  • [17] Petro D. Lezhniuk, Mykola M. Cheremisin, Veronika V. Cherkashyna. Substantiation of Parametric Series of Overhead Lines Wire Cross-Sections in Conditions Market and Insufficient Initial Information // Przeglad Elektrotechniczny, vol 2017, №3. - pp. 103-106.
  • [18] Petro D. Lezhniuk, Iryna O. Gunko, Sergiy V. Kravchuk. The Influence of Distributed Power Sources on Active Power Loss in the Microgrid // Przeglad Elektrotechniczny, vol 2017, №3. - pp. 107-112
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
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