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access icon free Partial discharge direction-of-arrival estimation in air-insulated substation by UHF wireless array and RSSI maximum likelihood estimator

The quick detection and localisation of partial discharge (PD) in an air-insulated substation (AIS) based on ultrahigh-frequency (UHF) sensor arrays are efficient for power equipment monitoring. The adopted UHF PD time difference-of-arrival (DOA) methods mainly use the time difference of electromagnetic wave signals. Thus, the system requires both a high-sampling rate and time synchronisation accuracy, leading to a high cost and large size. In this study, the feasibility and accuracy of PD DOA in an AIS were investigated using an UHF wireless sensor array and the received signal strength indicator. First, the power pattern of the designed UHF wireless sensor array was obtained via an offline experiment. Then, a statistical approach to the PD DOA method based on the maximum likelihood estimator was employed to obtain the preliminary DOA result. Finally, interpolation and clustering algorithms were used to improve the accuracy of the DOA. A laboratory test was conducted. The average error of the PD DOA was <6°, and the cost-effectiveness and portability were clearly improved.

References

    1. 1)
      • 16. Li, Z., Luo, L., Sheng, G., et al: ‘UHF partial discharge localization algorithm based on compressed sensing’, IEEE Trans. Dielectr. Electr. Insul., 2018, 25, (1), pp. 2129.
    2. 2)
      • 6. Hoshino, T., Maruyama, S., Ohtsuka, S., et al: ‘Sensitivity comparison of disc- and loop-type sensors using the UHF method to detect partial discharges in GIS’, IEEE Trans. Dielectr. Electr. Insul., 2012, 19, (3), pp. 910916.
    3. 3)
      • 5. Fresno, J., Guillermo, R., Martínez-Tarifa, J., et al: ‘Survey on the performance of source localization algorithms’, Sensors, 2017, 17, (11), p. 2666.
    4. 4)
      • 22. Pohlmann, R., Zhang, S., Jost, T., et al: ‘WPNC'17 IEEE 14th Workshop on Positioning’, Navigation and Communications, Bremen, Germany, 25–26 October 2017.
    5. 5)
      • 24. Evans, M., Hastings, N., Peacock, B.: ‘Statistical distributions’ (John Wiley & Sons, Inc., Wiley, New York, NY, USA, 2011, 4th Edition) pp. 143146.
    6. 6)
      • 1. Kunicki, M., Cichoń, A., Borucki, S.: ‘Measurements on partial discharge in on-site operating power transformer: a case study’, IET Gener. Transm. Distrib., 2018, 12, (10), pp. 24872495.
    7. 7)
      • 2. Tang, J., Xie, Y.: ‘Partial discharge location based on time difference of energy accumulation curve of multiple signals’, IET Electr. Power Appl., 2011, 5, (1), pp. 175180.
    8. 8)
      • 23. EM TEST: ‘Datasheet for DITO ESD simulator’, 2016. Available at http://www.emtest.com/products/product/135120100000010183.pdf, pp. 14.
    9. 9)
      • 3. Fresno, J.M., Ardila-Rey, J.A., Martínez-Tarifa, J.M., et al: ‘Partial discharges and noise separation using spectral power ratios and genetic algorithms’, IEEE Trans. Dielectr. Electr. Insul., 2017, 24, (1), pp. 3138.
    10. 10)
      • 19. Khan, U., Lazaridis, P., Mohamed, H., et al: ‘Received signal strength intensity based localization of partial discharge in high voltage systems’. 2018 24th Int. Conf. on Automation and Computing (ICAC), Newcastle Upon Tyne, UK, 2018.
    11. 11)
      • 18. Gu, X., Cui, Y., Wang, Q., et al: ‘Received signal strength indication-based localisation method with unknown path-loss exponent for HVDC electric field measurement’, High Volt., 2017, 2, (4), pp. 261266.
    12. 12)
      • 7. Tang, J., Ma, S., Li, X., et al: ‘Impact of velocity on partial discharge characteristics of moving metal particles in transformer oil using UHF technique’, IEEE Trans. Dielectr. Electr. Insul., 2016, 23, (4), pp. 22072212.
    13. 13)
      • 13. Mor, A.R., Morshuis, P.H.F., Llovera, P., et al: ‘Localisation techniques of partial discharges at cable ends in off-line single-sided partial discharge cable measurements’, IEEE Trans. Dielectr. Electr. Insul., 2016, 23, (1), pp. 428434.
    14. 14)
      • 17. Zhang, Y., Upton, D., Jaber, A., et al: ‘Radiometric wireless sensor network monitoring of partial discharge sources in electrical substations’, Int. J. Distrib. Sens. Netw., 2015, 2015, p. 179, Article ID 438302.
    15. 15)
      • 20. Wadi, A., AI-Masri, W., Siyam, W., et al: ‘Accurate estimation of partial discharge location using maximum likelihood’, IEEE Sens. Lett., 2018, 2, (4), p. 5501004.
    16. 16)
      • 21. Fresno, J., Robles, G., Martinez-Tarifa, J., et al: ‘A combined algorithm approach for PD location estimation using RF antennas’. 2017 IEEE Electrical Insulation Conf. (EIC), Baltimore, MD, USA, 2017.
    17. 17)
      • 14. Iorkyase, E. T., Tachtatzis, C., Atkinson, R. C., et al: ‘Localisation of partial discharge sources using radio fingerprinting technique’. Antennas Propag. Conf. (LAPC), Loughborough, UK, 2015, pp. 15.
    18. 18)
      • 27. Kay, S.: ‘Fundamentals of statistical signal processing’ (Prentice Hall PTR, Upper Saddle River, NJ, 1993).
    19. 19)
      • 25. Casella, G., Berger, R.L.: ‘Statistical inference’ (Duxbury Press, Belmont, CA, USA, 2002, 2nd edn.).
    20. 20)
      • 8. Portugues, I.E., Moore, P.J., Glover, I.A., et al: ‘RF-based partial discharge early warning system for air-insulated substations’, IEEE Trans. Power Deliv., 2009, 24, (1), pp. 2029.
    21. 21)
      • 11. Sinaga, H.H., Phung, B.T., Blackburn, T.R.: ‘Partial discharge localization in transformers using UHF detection method’, IEEE Trans. Dielectr. Elect. Insul., 2012, 19, (6), pp. 18911900.
    22. 22)
      • 15. Li, Z., Luo, L., Sheng, G., et al: ‘UHF partial discharge localisation method in substation based on dimension-reduced RSSI fingerprint’, IET Gener. Transm. Distrib., 2018, 12, (2), pp. 398405.
    23. 23)
      • 9. Zhou, N., Luo, L., Sheng, G., et al: ‘Direction of arrival estimation method for multiple UHF partial discharge sources based on virtual array extension’, IEEE Trans. Dielectr. Electr. Insul., 2018, 25, (4), pp. 15261534.
    24. 24)
      • 10. Zhu, M.-X., Wang, Y.-B., Liu, Q., et al: ‘Localization of multiple partial discharge sources in air-insulated substation using probability-based algorithm’, IEEE Trans. Dielectr. Electr. Insul., 2017, 24, (1), pp. 157166.
    25. 25)
      • 4. Moore, P.J., Portugues, I. E., Glover, I.A.: ‘Radiometric location of partial discharge sources on energized high-voltage plant’, IEEE Trans. Power Deliv., 2005, 20, (3), pp. 22642272.
    26. 26)
      • 26. Peng, X., Zhou, C., Hepburn, D.M., et al: ‘Application of K-means method to pattern recognition in on-line cable partial discharge monitoring’, IEEE Trans. Dielectr. Electr. Insul., 2013, 20, (3), pp. 754761.
    27. 27)
      • 12. Zeng, F., Tang, J., Huang, L., et al: ‘A semi-definite relaxation approach for partial discharge source location in transformers’, IEEE Trans. Dielectr. Electr. Insul., 2015, 22, (2), pp. 10971104.
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