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Assessment of 23 kV Capacitive Coupler for On-line Partial Discharge Measurements

  • Jeong, J.Y. (High Voltage Testing Department, KERI) ;
  • Kang, D.S. (Power Facility-IT Research Center, KERI) ;
  • Sun, J.H. (Power Facility-IT Research Center, KERI) ;
  • Heo, J.C. (High Voltage Testing Department, KERI) ;
  • Park, C.H. (School of Electrical Engineering, Pusan University)
  • Published : 2009.03.01

Abstract

The partial discharge (PD) measurement is a very effective method to assess the winding insulation condition of high-voltage machines, since most of the insulation failure processes are directly or indirectly caused by PD. On-line PD measurements, which can detect insulation defects of winding in the early stages on rotating machines in operation, have been accepted as the most important technique. The epoxy mica capacitive coupler is currently and extensively used for on-line detection of PD pulses of high-voltage rotating machines. To evaluate the feasibility of developing a capacitive coupler that is easier to manufacture at a lower cost compared to epoxy mica couplers, a 100pF capacitive coupler made of ceramic material is designed, fabricated and tested for on-line PD measurements of 23 kV electrical machines. A series of electrical tests and accelerated aging tests are performed on the ceramic coupler to evaluate the performance requirements, long-term reliability and thermal stability for in field application. The test results show that the newly developed ceramic coupler provides equal and improved performance at a lower cost compared to epoxy mica couplers, and estimated voltage life is anticipated to surpass 100 years.

Keywords

References

  1. Toliyat, H.A., and Kliman, G.B.: 'Handbook of Electric Motors' (Marcel Dekker, 2nd edn. 2004)
  2. Culbert, I.M., Dhirani, H., and Stone G.C.: 'Handbook to Assess the Insulation Condition of Large Rotating Machines' (Power Plant Electrical Reference Series vol. 16, EPRI publication EL-5036, 1989)
  3. Zhu, H., Green, V., Sasic, M., and Halliburton, S.: 'Increased Sensitivity of Capacitive Couplers for Inservice PD Measurement in Rotating Machines', IEEE Transactions on Energy Conversion, 1999, 14, (4), pp. 1184-1192 https://doi.org/10.1109/60.815045
  4. IEEE Std 1434-2000: 'IEEE Trial-Use Guide to the Measurement of Partial Dischargεs in Rotating Machinery', 2000
  5. IEEE Std 275-1992: 'IEEE Recommended Practice for Therrnal Evaluation of Insulation Systems for Altemating-Current Electric Machinery Employing Forrn-Wound Pre-insulated Stator Coils for Machines Rated 6900V and Below', 1992
  6. IEC 60034-18-31-1996: 'Test procedure for forrnwound windings-Thermal evaluation and classification of insulation systems used in machines up to and including 50MVA and 15 kV', 1996
  7. Dakin, T. W. et. al: 'Thε Voltage Endurance of Cast Resin', Proc. IEEE Intemational Conference on Electrical Insulation, no. 216. June 1973
  8. Simoni, L.: 'Fundamentals of endurance of electrical insulating materials', (CLUEB, 1983, 2nd edn. 1994)
  9. Montanari, G.c., and Simoni, L.: 'Aging phenomenology and modeling', IEEE Trans. on EIectrical Insulation, 1993, 28, (5), pp. 755-776 https://doi.org/10.1109/14.237740
  10. 井關 他, '絶緣の電壓劣化た關する考', 電氣學會全國大會 No. 277, 1982
  11. 電氣學會, '絶緣システム複合要因劣化た關する硏穷の現狀', 電氣學會技術報吿(II부) 第 225号, 1986
  12. EIA/IS-692:'Ceramic Capacitor Qualification Specification', 1996

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