Electrical Engineering

, Volume 100, Issue 2, pp 839–847 | Cite as

Location estimation of partial discharge-based electromagnetic source using multilateration with time difference of arrival method

  • Kaan Gülnihar
  • Serap Cekli
  • Cengiz Polat Uzunoğlu
  • Mukden Uğur
Original Paper
  • 126 Downloads

Abstract

In high-voltage systems partial discharges (PD) may occur due to the degradation of insulation materials in addition to different scenarios such as material properties, construction, setup and operation conditions. Especially for a power transformer, the degradation of inner insulation may prevent regular operation and hence cause failure. In a long time period even low-level PD activity may cause degradation on the insulator. If the deterioration caused by the PD is detected in an early phase, potential damage may be prevented. Due to the complex and close structure of power transformers and other high-voltage systems, it is not easy to estimate the exact location of a PD. This study proposes a novel approach to detect and analyze an artificial PD in a laboratory room setup, which is especially designed for simulation of possible PD source in a large scale structure such as power transformer. Electromagnetic (EM) PD sensors are commonly used to detect electromagnetic pulses emitted from PD sources. In this work, the time differences of arrivals (TDOA) which are obtained from PD signals are subjected to multilateration technique to estimate the exact location. A novel energy level method is introduced to overcome correct TDOA extraction problem. Cramer–Rao bound (CRB) is used for calculation of the minimum achievable estimation error of proposed method. In order to display the accuracy of location estimation, CRB and the mean square error graphics of the estimated location parameters are given for the comparison.

Keywords

Partial discharge Electromagnetic sensor Multilateration Time difference of arrival Cramer–Rao bound 

References

  1. 1.
    Lupò G, Petrarca C, Egiziano L, Tucci V, Vitelli M (1998) Partial discharge testing on resin insulated voltage transformers. Electr Eng 81(2):89–97CrossRefGoogle Scholar
  2. 2.
    Guillen D, Idarraga-Ospina G, Mombello E (2014) Partial discharge location in power transformer windings using the wavelet Laplace function. Electr Power Syst Res 111:71–77CrossRefGoogle Scholar
  3. 3.
    EN60270, B. S. IEC60270:2000 (2000) High voltage test techniques–partial discharge measurements. BSI copyright. ISBN 0 580 38138 2Google Scholar
  4. 4.
    Haddad A, Warne D (2007) Advances in high voltage engineering. The Institution of Engineering and Technology, LondonGoogle Scholar
  5. 5.
    Tenbohlen S, Denissov D, Hoek SM, Markalous SM (2008) Partial discharge measurement in the ultra high frequency (UHF) range. IEEE Trans Dielectr Electr Insul 15(6):1544–1552CrossRefGoogle Scholar
  6. 6.
    Naderi MS, Blackburn TR, Phung BT, Naderi MS, Nasiri A (2008) Application of wavelet analysis to the determination of partial discharge location in multiple-\(\alpha \) transformer windings. Electr Power Syst Res 78(2):202–208CrossRefGoogle Scholar
  7. 7.
    Jeyabalan V, Usa S (2009) Frequency domain correlation technique for PD location in transformer windings. IEEE Trans Dielectr Electr Insul 4:1160–1167Google Scholar
  8. 8.
    Nafar M, Niknam T, Gheisari A (2011) Using correlation coefficients for locating partial discharge in power transformer. Electr Power Energy Syst 33:493–499CrossRefGoogle Scholar
  9. 9.
    Wang ZD, Hettiwatte SN, Crossley PA (2005) A measurements based discharge location algorithm for plain disc winding power transformers. IEEE Trans Dielectr Electr Insul 12(3):416–422CrossRefGoogle Scholar
  10. 10.
    Judd MD, Farish O, Hampton BF (1996) The excitation of UHF signals by partial discharges in GIS. IEEE Trans Dielectr Electr Insul 3(2):213–228CrossRefGoogle Scholar
  11. 11.
    Cleary GP, Judd MD (2002) An investigation of discharges in oil insulation using UHF PD detection. In: IEEE 14th international conference on dielectric liquids, pp 341–344Google Scholar
  12. 12.
    Judd MD, Yang L, Hunter IBB (2005) Partial discharge monitoring for power transformers using UHF sensors part 1: sensors and signal interpretation. IEEE Electr Insul Mag 21(2):5–14CrossRefGoogle Scholar
  13. 13.
    Pinpart T, Judd MD (2009) Experimental comparison of UHF sensor types for PD location applications. In: IEEE electrical insulation conference, pp 26–30Google Scholar
  14. 14.
    Gulnihar K, Cayci H, Ugur M (2013) Design of electromagnetic partial discharge sensors for power transformers. In: 18th international symposium on high voltage engineering (ISH2013), Seoul Korea, pp 832–836Google Scholar
  15. 15.
    Dvorkind TG, Gannot S (2005) Time difference of arrival estimation of speech source in a noisy and reverberant environment. Signal Process 85(1):177–204CrossRefMATHGoogle Scholar
  16. 16.
    Chan YT, Ho KC (1994) A simple and efficient estimator for hyperbolic location. IEEE Trans Signal Process 42(8):1905–1915CrossRefGoogle Scholar
  17. 17.
    Stoica P, Nehorai A (1989) MUSIC maximum likelihood and Cramer–Rao bound. IEEE Trans Acoust Speech 37(5):720–741MathSciNetCrossRefMATHGoogle Scholar
  18. 18.
    Stoica P, Nehorai A (1990) MUSIC maximum likelihood and Cramer–Rao bound: further results and comparisons. IEEE Trans Acoust Speech 37(5):2140–2150CrossRefGoogle Scholar
  19. 19.
    Mcwhorter T, Scharf LL (1993) Cramer–Rao bounds for deterministic modal analysis. IEEE Trans Signal Process 41(5):1847–1864CrossRefMATHGoogle Scholar
  20. 20.
    Chen JC, Hudson RE, Yao K (2002) Maximum-likelihood source localization and unknown sensor location estimation for wideband signals in the near-field. IEEE Trans Signal Process 50(8):1843–1854CrossRefGoogle Scholar
  21. 21.
    Cekli S, Çırpan HA (2009) Localization of acoustic emitters with time delay compensated ML. Freq J RF-Eng Telecommun 63(3–4):69–76Google Scholar
  22. 22.
    Cekli S (2012) Position detection with spherical interpolation least squares based on time difference of arrivals using separated acoustic signals by independent component analysis. In: Signal processing and communications applications conference (SIU), pp 1–4Google Scholar
  23. 23.
    Young DP, Keller CM, Bliss DW, Forsythe KW (2003) Ultra-wideband (UWB) transmitter location using time difference of arrival (TDOA) techniques. In: Signals systems and computers conference record of the thirty-seventh Asilomar conference on 2, pp 1225–1229Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Kaan Gülnihar
    • 1
  • Serap Cekli
    • 2
  • Cengiz Polat Uzunoğlu
    • 3
  • Mukden Uğur
    • 3
  1. 1.Power and Energy LaboratoryTUBITAK, National Metrology InstituteGebzeTurkey
  2. 2.Computer Engineering DepartmentMaltepe UniversityIstanbulTurkey
  3. 3.Electrical and Electronics Engineering DepartmentIstanbul UniversityIstanbulTurkey

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