Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

Identification of Partial Discharge Defect Detection in Cast-Resin Power Transformers Using Back-Propagation Algorithm

  • Sung-Wook Kim (Department of Electrical and Electronics Engineering, Silla University)
  • Received : 2024.06.18
  • Accepted : 2024.08.08
  • Published : 2024.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents a method used to identify partial discharge defects in cast-resin power transformers using a back-propagation algorithm. The Rogowski-type partial discharge (PD) sensor was designed with a planar and thin structure based on a printed circuit board to detect PD signals. PD electrode systems, such as metal protrusions, particle-on-insulators, delamination, and void defects, were fabricated to simulate the PD defects that occur in service. PD characteristics, such as rising time, falling time, pulse width, skewness, and kurtosis without phase-resolved partial discharge patterns, were extracted to intuitively analyze each PD pulse according to the type of PD defect. A backpropagation algorithm was designed to identify PD defects using a virtual instrument (VI) based on the LabVIEW program. The results show that the accuracy rate of back-propagation (BP) algorithm reaches over 92.75% in identifying four types of PD defects.

Keywords

Acknowledgement

This study was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIT) (No. 2022R1G1A1011043).

References

  1. S. J. Park, S. C. Hwang, G. Wang, and G. S. Kil, "Partial discharge characteristics and localization of void defects in XLPE cable," Journal of the Koran Society for Railway, vol. 20, no. 2, pp. 203-209, Apr. 2017. DOI: 10.7782/JKSR.2017.20.2.203.
  2. M. K. Chen, J. M. Chen, and C. Y. Cheng, "Partial discharge detection in 11.4 kV cast resin power transformer," IEEE Transaction on Dielectrics and Electrical Insulation, vol. 23, no. 4, pp. 2223-2231, Aug. 2016. DOI: 10.1109/TDEI.2016.7556498.
  3. M. Erdogan and M. K. Eker, "A comparative analysis of partial discharge in 13 combined insulation structures of 11 materials used in cast-resin dry-type transformers," IEEE Transaction on Dielectrics and Electrical Insulation, vol. 29, no. 6, pp. 2330-2339, Sep. 2022. DOI: 10.1109/TDEI.2022.3205285.
  4. B. A. de Castro, V. V. dos Santos, G. B. Lucas, J. A. Ardila-Rey, R. R. Riehl and A. L. Andreoli, "A comparative analysis applied to the partial discharges identification in dry-type transformers by hall and acoustic emission sensor," Sensors, vol. 22, no. 5, pp. 1716, Feb. 2022. DOI: 10.3390/s22051716.
  5. International Electrotechnical Commission 60270, "High-voltage test techniques-partial discharge measurements," Geneva, Switzerland, 2015.
  6. H. D. Ilkhechi, and M. H. Samimi, "Applications of the acoustic method in partial discharge measurement: A review," IEEE Transaction on Dielectrics and Electrical Insulation, vol. 28, no. 1, pp. 42-51, Feb. 2021. DOI: 10.1109/TDEI.2020.008985.
  7. P. Wenger, M. Beltle, S. Tenbohlen, U. Riechert, and G. Behrmann, "Combined characterization of free-moving particles in HVDC-GIS using UHF PD, high speed imaging and pulse-sequence analysis," IEEE Transactions on Power Delivery, Vol. 34, no. 4, pp. 1540-1548, Aug. 2019. DOI: 10.1109/TPWRD.2019.2909830.
  8. A. Darwish, G. coapes, S. S. Refaat, H. Abu-Rub, and H. A. Toliyat, "PD Signal Attenuation in 550-kV GIS: Impact of different barriers on the propagation of electromagnetic waves," IEEE Transactions on Instrumentation and Measurement, Vol. 70, Nov. 2021. DOI: 10.1109/TIM.2021.3126400.
  9. M. Ariannik, M. A. Azirani, P. Werle, and A. A. Azirani, "UHF measurement in power transformers: an algorithm to optimize accuracy of arrival time detection and PD localization," IEEE Transactions on Power Delivery, Vol. 34, no. 6, pp. 1530-1539, Aug. 2019. DOI: 10.1109/TPWRD.2019.2909706.
  10. S. J. Kim, H. E. Jo, G. W, Jeong, G. S. Kil, and S. W. Kim, "Analysis on PD Pulse Distribution by Defects Depending on SF6 Pressure," Journal of the Korea Institute of Electrical and electronic Material Engineering, Vol. 28, no. 1, pp. 40-45, Jan. 2015. DOI: 10.4313/JKEM.2015.28.1.40.
  11. M. S. Kim, S. J. Kim, G. W. Jeong, H. E. Jo, and G. S. Kil, "Characteristics of partial discharge under HVDC in SF6 gas," Journal of the Korea Institute of Electrical and electronic Material Engineering, Vol. 27, no. 4, pp. 238-243, Apr. 2014. DOI: 10.4313/JKEM.2014.27.4.238.
  12. S. Sharifinia, M. Allahbakhshi, T. Ghanbari, A. Akbari, and H. R. Mirzaei, "A new application of rogowski coil sensor for partial discharge localization in power transformers," IEEE Sensors Journal, Vol. 21, no. 9, pp. 10743-10751, May 2021. DOI: 10.1109/JSEN.2021.3062770.
  13. M. H. Samimi, A. Mahari, M. A. Farahnakian, H. Mohseni, "The Rogowski coil principles and applications: A review," IEEE Sensors Journal, vol. 15, no. 2, pp. 651-658, Feb. 2015. DOI: 10.1109/JSEN.2014.2362940.
  14. U. J. Kim, M. S. Song, and R. Y. Kim, "PCB-based current sensor design for sensing switch current of a nonmodular GaN power semiconductor," Energies, vol. 13, no. 19, pp. 5161, Oct. 2020. DOI: 10.3390/ en13195161.
  15. M. Shafiq, K. Kauhaniemi, G. Robles, M. Isa, and L. Kumpulainen, "Online condition monitoring of MV cable feeders using Rogowski coil sensors for PD measurements," Electric Power Systems Research, Vol. 167, pp. 150-162, Feb. 2019. DOI: 10.1016/j.epsr.2018.10.038.
  16. G. Wang, W. H. Kim, G. S. Kil, S. W. Kim, and J. R. Jung, "Green gas for grid as an eco-friendly alternative insulation gas to SF6: From the Perspective of Partial Discharge under AC," Applied Sciences, vol. 9, no. 4, pp.651, Feb. 2019. DOI: 10.3390/app9040651.
  17. H. H. Sinaga, B. T. Phung, and T.R. Blackburn, "Recognition of single and multiple partial discharge sources in transformers based on ultra-high frequency signals," IET Generation, Transmission & Distribution, Vol. 8, no. 1, pp. 160-169, Jan. 2014. DOI: 10.1049/ietgtd.2013.0131.
  18. W. Y. Chang, "Partial discharge pattern recognition of cast resin current transformers using radial basis function neural network," Journal of Electrical Engineering and Technology, vol. 9, no. 1, pp. 293-300, Jan. 2014. DOI: 10.5370/JEET.2014.9.1.293.
  19. M. N. Danikas, N. Gao, and M. Aro, "Partial discharge recognition using neural network: A review," Electrical Engineering, vol. 85, pp. 87-93, May 2003. DOI: 10.1007/s00202-002-0151-5.
  20. N. Hozumi, T. Okamoto, and T. Imajo, "Discrimination of partial discharge patterns using neural network," IEEE Transaction on Dielectrics and Electrical Insulation, vol. 27, no. 3, pp. 550-556, Jun. 1992. DOI: 10.1109/14.142718.