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Partial discharge localisation in transformers using UHF technique: non-iterative method

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Abstract

The mathematical model of the Partial Discharge (PD) location detection system in transformers, using the Ultra High Frequency (UHF) technique, is a system of non-linear sphere equations. These non-linear equations are solved to determine the PD source co-ordinates. In this paper, a non-iterative method is studied to determine the PD location. For the study, a simulation-based system is modelled in an EM-solver. The UHF technique-based detection of the PD source location needs a minimum of four sensors. The non-iterative algorithm’s significant drawback is that it provides two solutions. However, in the present study, five sensors are positioned at specified coordinates to attain the real PD position (from the two obtained solutions) with higher accuracy.

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References

  1. Punekar GS, Jadhav P, Bhavani ST, Nagamani HN (2012) Some aspects of location identification of PD source using AE signals by an iterative method. In: 2012 IEEE 10th international conference on the properties and applications of dielectric materials, Bangalore, pp 1–4. https://doi.org/10.1109/icpadm.2012.6318957

  2. Mohammadi E, Niroomand M, Rezaeian M, Amini Z (2009) Partial discharge localization and classification using acoustic emission analysis in power transformer. In: INTELEC 2009—31st international telecommunications energy conference, Incheon, pp 1–6. https://doi.org/10.1109/intlec.2009.5351926

  3. Gao C, Yu L, Xu Y, Wang W, Wang S, Wang P (2019) Partial discharge localization inside transformer windings via fiber-optic acoustic sensor array. IEEE Trans Power Deliv 34(4):1251–1260. https://doi.org/10.1109/TPWRD.2018.2880230

    Article  Google Scholar 

  4. Coenen S, Tenbohlen S (2012) Location of PD sources in power transformers by UHF and acoustic measurements. IEEE Trans Dielectr Electr Insul 19(6):1934–1940. https://doi.org/10.1109/TDEI.2012.6396950

    Article  Google Scholar 

  5. Aschenbrenner D, Kranz HG (2005) On line PD measurements and diagnosis on power transformers. IEEE Trans Dielectr Electr Insul 12(2):216–222. https://doi.org/10.1109/tdei.2005.1430392

    Article  Google Scholar 

  6. Akbari A, Werle P, Akbari M, Mirzaei HR (2016) Challenges in calibration of the measurement of partial discharges at ultrahigh frequencies in power transformers. IEEE Electr Insul Mag 32(2):27–34. https://doi.org/10.1109/MEI.2016.7414228

    Article  Google Scholar 

  7. Sinaga HH, Phung BT, Blackburn TR (2012) Partial discharge localization in transformers using UHF detection method. IEEE Trans Dielectr Electr Insul 19(6):1891–1900. https://doi.org/10.1109/TDEI.2012.6396945

    Article  Google Scholar 

  8. Mirzaei HR, Akbari A, Gockenbach E, Miralikhani K (2015) Advancing new techniques for UHF PD detection and localization in the power transformers in the factory tests. IEEE Trans Dielectr Electr Insul 22(1):448–455. https://doi.org/10.1109/TDEI.2014.004249

    Article  Google Scholar 

  9. Xue N et al (2019) The location of partial discharge sources inside power transformers based on TDOA database With UHF sensors. IEEE Access 7:146732–146744. https://doi.org/10.1109/ACCESS.2019.2945893

    Article  Google Scholar 

  10. Ariannik M, Azirani MA, Werle P, Azirani AA (2019) UHF measurement in power transformers: an algorithm to optimize accuracy of arrival time detection and PD localization. IEEE Trans Power Deliv 34(4):1530–1539. https://doi.org/10.1109/TPWRD.2019.2909706

    Article  Google Scholar 

  11. Umemoto T, Tenbohlen S (2019) Validations of simulation of UHF electromagnetic wave propagation in an oil-filled tank by time-domain measurements. IET Gener Transm Distrib 13(9):1646–1652. https://doi.org/10.1049/iet-gtd.2018.6173

    Article  Google Scholar 

  12. Tabarsa H, Hejazi MA, Gharehpetian GB (2019) Detection of HV winding radial deformation and PD in power transformer using stepped-frequency hyperboloid method. IEEE Trans Instrum Meas 68(8):2934–2942. https://doi.org/10.1109/TIM.2018.2868491

    Article  Google Scholar 

  13. Chen Z (2019) Review of direction of arrival estimation algorithms for partial discharge localisation in transformers. IET Sci Meas Technol 13(4):529–535. https://doi.org/10.1049/iet-smt.2018.5297

    Article  Google Scholar 

  14. Cai J, Zhou L, Hu J, Zhang C, Liao W, Guo L (2020) High-accuracy localisation method for PD in transformers. IET Sci Meas Technol 14(1):104–110. https://doi.org/10.1049/iet-smt.2019.0051

    Article  Google Scholar 

  15. Kundu P, Kishore NK, Sinha AK (2009) A non-iterative partial discharge source location method for transformers employing acoustic emission techniques. Appl Acoust 70(11, 12):1378–1383. https://doi.org/10.1016/j.apacoust.2009.07.001

    Article  Google Scholar 

  16. Mirzaei HR, Akbari A, Gockenbach E, Zanjani M, Miralikhani K (2013) A novel method for ultra-high-frequency partial discharge localization in power transformers using the particle swarm optimization algorithm. IEEE Electr Insul Mag 29(2):26–39. https://doi.org/10.1109/MEI.2013.6457597

    Article  Google Scholar 

  17. Punekar GS, Antony D, Bhavanishanker T, Nagamani HN, Kishore NK (2013) Genetic algorithm in location identification of AEPD source: some aspects. In: 2013 IEEE 1st international conference on condition assessment techniques in electrical systems (CATCON), Kolkata, pp 386–390. https://doi.org/10.1109/catcon.2013.6737533

  18. Schau H, Robinson A (1987) Passive source localization employing intersecting spherical surfaces from time-of-arrival differences. IEEE Trans Acoust Speech Signal Process 35(8):1223–1225. https://doi.org/10.1109/TASSP.1987.1165266

    Article  Google Scholar 

  19. Li X, Deng ZD, Rauchenstein LT, Carlson TJ (2016) Contributed Review: Source-localization algorithms and applications using time of arrival and time difference of arrival measurements. Rev Sci Instrum 87(4):041502. https://doi.org/10.1063/1.4947001

    Article  Google Scholar 

  20. Markalous SM, Tenbohlen S, Feser K (2008) Detection and location of partial discharges in power transformers using acoustic and electromagnetic signals. IEEE Trans Dielectr Electr Insul 15(6):1576–1583. https://doi.org/10.1109/TDEI.2008.4712660

    Article  Google Scholar 

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Acknowledgements

Authors thank all the affiliates of the Ramaiah University of Applied Sciences, Bengaluru for their mentorship and crucial inputs to carry out this research successfully.

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Authors and Affiliations

  1. Department of Electrical Engineering, Ramaiah University of Applied Sciences, Bengaluru, India

    Deepthi Antony, Prashwar Mishra, Akshat Todi, Nikhil Abhishek John & Ananya M. Patankar

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  1. Deepthi Antony
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  2. Prashwar Mishra
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  3. Akshat Todi
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  4. Nikhil Abhishek John
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  5. Ananya M. Patankar
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Correspondence to Deepthi Antony.

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Antony, D., Mishra, P., Todi, A. et al. Partial discharge localisation in transformers using UHF technique: non-iterative method. Int. j. inf. tecnol. 13, 291–297 (2021). https://doi.org/10.1007/s41870-020-00481-1

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  • DOI: https://doi.org/10.1007/s41870-020-00481-1

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