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Measurement and Analysis of Partial Discharge using an Ultra-High Frequency Sensor for Gas Insulated Structures

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Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Although the gas insulated structures have a high degree of reliability, the unavoidable defects are primary reason of their failures. Partial discharge (PD) has been regarded as an effective indication for condition monitoring and diagnosis of gas insulated switchgears (GISs) to ensure their reliable and stable operation. Among various PD detection methods, the ultra-high frequency (UHF) technique has the advantages of on-line motoring and defect classification. In this paper, there are presented 7 types of artificial electrode systems fabricated for simulation of real insulation defects in gas insulated structures. A real-time measurement system was developed to acquire defect patterns in a form of phase-resolve partial discharge (PRPD) intensity graph, using a UHF sensor. Further, the discharge distribution and statistical characteristics were extracted for defect identification using a neural network algorithm. In addition, a conversion experiment was proposed by detecting the PD pulse simultaneously using a non-induction resistor and a UHF sensor. A relationship between the magnitude of UHF signal and the amplitude of apparent charge was established, which was used for evaluation of PD using the UHF sensor.
Rocznik
Strony
515--524
Opis fizyczny
Bibliogr. 24 poz., rys., wykr.
Twórcy
autor
  • Korea Maritime and Ocean University, Department of Electrical and Electronics Engineering, 727, Taejong-ro, Yeongdo-gu, Busan, Korea
autor
  • Korea Maritime and Ocean University, Department of Electrical and Electronics Engineering, 727, Taejong-ro, Yeongdo-gu, Busan, Korea
Bibliografia
  • [1] Haddad, A., Warne, D.F. (2004). Advances in high voltage engineering. The Institution of Engineering and Technology, 37-54.
  • [2] Ryan, H.M. (2013). High-voltage engineering and testing. The Institution of Engineering and Technology, 319-324.
  • [3] Neumann, C., Krampe, B., Feger, R., Feser, K., Knapp, M., Breuer, A., Rees, V. (2000). PD measurements on GIS of different designs by non-conventional UHF sensors. CIGER session 15-305, 1-9.
  • [4] ABB. (2009). Compact and reliable - Decades of benefits: Gas-insulated switchgear from 52 to 1100 kV (ABB Technology magazine), 1-7.
  • [5] Neumann, C., Rusek, B., Balzer, G., Jeromin, I. (2012). End of life estimation and optimisation of maintenance of HV switchgear and GIS substations. CIGER session A3-202, 1-12.
  • [6] Jo, H.E., Wang, G.M., Kim, S.J., Kil, G.S. (2015). Comparison of partial discharge characteristics in SF6 gas under AC and DC. Trans. Electr. Electron. Mater., 16(6), 323-327.
  • [7] Gill, P. (2008). Electrical power equipment maintenance and testing. CRC Press, 1-18.
  • [8] Balzer, G., Degen, W., Halfmann, M., Hartkopf, T., Neumann, C. (2004). Strategies for optimizing the use of substation assets. CIGER session B3-101, 1-8.
  • [9] IEC 60270. (2000). High-voltage test techniques-Partial discharge measurement.
  • [10] Tang, J., Xie, Y. (2011). Partial discharge location based on time difference of energy accumulation curve of multiple signals. IET Electr. Power Appl., 5(1), 175-180.
  • [11] Kreuger, F.H. (1990). Partial discharge detection in high-voltage equipment. Butterworths, 29-48.
  • [12] Vedral. J., Kříž, M. (2010). Signal processing in partial discharge measurement. Metrol. Meas. Syst., 31(6), 22-35.
  • [13] IEEE. (2007). IEEE guide for the detection and location of acoustic emission from partial discharges in oil-immersed power transformers and reactors.
  • [14] Hekmati, A. (2016). A novel acoustic method of partial discharge allocation considering structure-borne waves. Int. J. Electr. Power Energy Syst., 77, 250-255.
  • [15] Kil, G.S., Kim, I.K., Park, D.W., Choi, S.Y., Park, C.Y., (2009). Measurements and analysis of the acoustic signals produced by partial discharge in insulation oil. Curr. Appl. Phys., 9(2), 296-300.
  • [16] Kim, S.W., Kim, S.J., Seo, H.D., Jung, J.R., Yang, G.J., Duval, M. (2013). New methods of DGA diagnosis using IEC TC 10 and related databases part 1 application of gas-ratio combinations. IEEE Trans. Dielect. Elect. Insul., 20(2), 685-690.
  • [17] Muhamad, N.A., Phung, B.T., Blackburn, T.R. (2011). Dissolved gas analysis for common transformer faults in soy seed-based oil. IET Electr. Power Appl., 5(1), 133-142.
  • [18] Zhu, M.X., Xue, J.Y., Zhang, J.N., Li, Y., Deng, J.B., Mu, H.B., Zhang, G.J., Shao, X.J., Liu, X.W. (2016). Classification and separation of partial discharge ultra-high-frequency signals in a 252 kV gas insulated substation by using cumulative energy technique. IET Sci. Meas. Technol., 10(4), 316-326.
  • [19] Raja, K., Devaux, F., Lelaidier, S. (2002). Recognition of discharge sources using UHF PD signatures. IEEE Elect. Insul. Mag., 18(5), 8-14.
  • [20] Wang, Y.C., Wu, J.D., Li, Z., Yin, Y. (2014). Research on a practical de-nosing method and the characterization of partial discharge UHF signals. IEEE Trans. Dielect. Elect. Insul., 21(5), 2206-2216.
  • [21] Okabe, S., Ueta, G., Hama, H., Ito. T., Hikita, M., Okubo, H. (2014). New aspects of UHF PD diagnostics on gas-insulated systems. IEEE Trans. Dielect. Elect. Insul., 21(5), 2245-2258.
  • [22] CIGER. (2013). Risk assessment on defects in GIS based on PD Diagnosis.
  • [23] Sahoo, N.C., Salama, M.M.A., Bartnikas, R. (2005). Trends in partial discharge pattern classification: A survey. IEEE Trans. Dielect. Elect. Insul., 12(2), 248-264.
  • [24] Masud, A.A., Stewart, B.G., Mcmeekin, S.G. (2014). Application of an ensemble neural network for classifying partial discharge patterns. Electr. Power Syst. Res., 110, 154-162.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-88401ada-bdaa-4b7f-8a83-46bed5b912d6
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