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author:

Zhang, X. (Zhang, X..) [1] | Liu, Q. (Liu, Q..) [2] | Cai, J. (Cai, J..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

In the research of time-division dielectric response for oil-paper transformer insulation aging diagnosis, there always exists uncertainty in the solution spectrum of the dielectric response spectra, the parameter calculation process is complex, and it is difficult to describe the physical meaning of the indirect extracted feature quantity. In accordance with the problem in the circuit model determination and the feature extraction, we propose a new method to diagnose the aging condition for transformer oil-paper insulation. Firstly, a terminal two-point analytical method of depolarization current spectrum is put forward to determine the insulation equivalent circuit for transformer oil-paper insulation, a new type of polarization maximum straight spectrum is drawn, and three new characteristic parameters, such as, the number of polarization low resistances lLow_R, the maximum slope of polarization aτmax, and the maximum intercept of polarization bτmax, are directly extracted. It is confirmed that, the more serious the aging of oil-paper insulation is, the larger the number of lLow_R will be, and the greater value of aτmax and bτmax will be. The analysis and calculation of experimental data of several transformers prove that the aging status for transformer oil-paper insulation can be effectively diagnosed through new characteristic parameters. The new method and characteristic quantity of equivalent circuit provide a new way to diagnose the aging of oil-paper insulation. © 2019, High Voltage Engineering Editorial Department of CEPRI. All right reserved.

Keyword:

Aging diagnosis; Depolarization current; Number of polarization low resistance branches; Oil-paper insulation; Polarization maximum straight spectrum; Terminal two-point analysis

Community:

  • [ 1 ] [Zhang, X.]Fujian Key Laboratory of New Energy Generation and Power Conversion, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Liu, Q.]Fujian Key Laboratory of New Energy Generation and Power Conversion, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Cai, J.]Fujian Key Laboratory of New Energy Generation and Power Conversion, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

Reprint 's Address:

  • [Liu, Q.]Fujian Key Laboratory of New Energy Generation and Power Conversion, College of Electrical Engineering and Automation, Fuzhou UniversityChina

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Source :

High Voltage Engineering

ISSN: 1003-6520

Year: 2019

Issue: 10

Volume: 45

Page: 3317-3326

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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