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author:

Lin, Y.-Z. (Lin, Y.-Z..) [1] | Cai, J.-D. (Cai, J.-D..) [2]

Indexed by:

Scopus PKU CSCD

Abstract:

Moisture is a strong polar molecule, and it could change the relaxation time of dielectric and accordingly affect the state of transformer insulation. So it is of great significance to analyze the transformer's aging and damp condition with the method of diagnosing the micro water content of the transformer accurately. By applying the dielectric response return voltage method, combining with the characteristics of the return voltage polarization spectrum by field test to discuss the relationship between the micro water content and the characteristics of the return voltage polarization spectrum further, we have come up with an conclusion that the smaller the dominant time constant is, the more water the transformer contains; the larger the initial slope is, the more water the transformer contains. At the same time, with the increase of water content in the transformer the maximum value of return voltage will also be increased. So we can diagnose the micro water content of the transformer by analyzing the characteristics of the return voltage polarization spectrum, so as to assess the aging and damp state of oil-paper insulation transformer effectively.

Keyword:

Characteristics of the polarization spectrum; Micro water content; Oil-paper insulation; Return voltage; Transformer

Community:

  • [ 1 ] [Lin, Y.-Z.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Cai, J.-D.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China

Reprint 's Address:

  • 蔡金锭

    [Cai, J.-D.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China

Email:

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Source :

Power System Protection and Control

ISSN: 1674-3415

CN: 41-1401/TM

Year: 2014

Issue: 5

Volume: 42

Page: 148-153

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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