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author:

Zou, Yang (Zou, Yang.) [1] (Scholars:邹阳) | Weng, Zu-Chen (Weng, Zu-Chen.) [2] | Jin, Tao (Jin, Tao.) [3] (Scholars:金涛)

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EI PKU CSCD

Abstract:

In order to study conductivity and polarization characteristics of oil-paper insulating samples under damp condition, the characteristic parameters which can accurately quantify the degree of damp of oil-paper insulating samples were extracted. A new relaxation response model, the mixed polarization circuit model, was used to explore application of frequency domain dielectric spectroscopy ( FDS) in the e-valuation of damp status of oil-paper insulation. Firstly, the frequency domain dielectric response function of the model was derived, and the model parameters were identified based on the measured data of FDS. Then, the influences of temperature and moisture content on the model parameters were studied. Then, three characteristic parameters of oil-paper insulation were extracted: insulation resistance Rg, average series polarization branch time constant τpand average interface polarization branch time constant τh. Finally, the experimental results show that the mixed polarization circuit model can accurately fit the relaxation response process of the composite insulating medium, and there is an obvious exponential relationship between the extracted characteristic parameters and the moisture content of oil paper insulation, which is helpful for the quantitative evaluation of the moisture status of power equipmen. © 2022 Editorial Department of Electric Machines and Control. All rights reserved.

Keyword:

Circuit simulation Frequency domain analysis Insulation Moisture Moisture determination Oil filled transformers Parameter estimation Polarization Timing circuits

Community:

  • [ 1 ] [Zou, Yang]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Weng, Zu-Chen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Jin, Tao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

Electric Machines and Control

ISSN: 1007-449X

CN: 23-1408/TM

Year: 2022

Issue: 7

Volume: 26

Page: 88-97

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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