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Abstract:
Aiming at the problem of uncertainty in parameter solution of relaxation response, the indirect extraction of feature quantities and the difficultly in describing physical meaning in the relaxation response parameters extraction for the time domain dielectric response method, a method for diagnosing the aging state of transformer insulating paper and insulating oil based on direct deterministic parameter identification and characteristic parameters extraction was proposed. Firstly, a terminal two-point analytical method was used to determine the relaxation parameter in the depolarization current spectrum. The relaxation minimum spectrum and maximum spectral spectrum which characterize the state of transformer insulating oil and insulating paper were drawn separately, and four new feature quantities were directly extracted: relaxation minimum normal angle θτmin, relaxation minimum normal length Pτmin, relaxation maximum normal angle θτmax, relaxation The maximum normal length Pτmax. It has been confirmed by research and analysis that the more severe the aging of insulating oil is, the smaller the θτmin and shorter the Pτmin, the more severe the aging of insulating paper, the smaller the θτmax and shorter the Pτmax. Test verification of multiple transformers: according to the new feature quantity, the aging state of oil and paper insulation can be effectively diagnosed; the new method of relaxation parameter identification and new feature quantity extraction provide a new idea for oil-paper insulation aging diagnosis. © 2020, Harbin University of Science and Technology Publication. All right reserved.
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Electric Machines and Control
ISSN: 1007-449X
CN: 23-1408/TM
Year: 2020
Issue: 5
Volume: 24
Page: 124-134
Cited Count:
SCOPUS Cited Count: 4
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 4
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