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author:

Ye, Rong (Ye, Rong.) [1] | Cai, Jinding (Cai, Jinding.) [2] | Chen, Qunjing (Chen, Qunjing.) [3]

Indexed by:

EI

Abstract:

Based on the extended Debye model, the interface polarization branch is introduced to make the oil-paper insulation mixed polarization equivalent model more suitable for the actual polarization process. The mixed polarization equivalent model parameter identification method using frequency domain dielectric spectrum is studied. Firstly, the relationship between the frequency domain spectrum and the circuit parameters is derived based on the mixed polarization equivalent circuit. Secondly, the objective function of the equations for solving the multivariate parameters is established, and the artificial intelligence algorithm is used to solve the parameters. Finally, the method is used to verify the identification of the method. Feasibility and accuracy of mixed polarization equivalent model parameters. The calculation results show that the mixed equivalent model considering interface polarization can more accurately reflect the relaxation process of oil-paper insulation. Compared with the time domain dielectric spectrum parameter identification method, the identification method based on frequency domain dielectric spectrum has the advantages of simple solving process and accurate and reliable parameter calculation results. © Published under licence by IOP Publishing Ltd.

Keyword:

Artificial intelligence Disaster prevention Disasters Equivalent circuits Frequency domain analysis Insulation Oil filled transformers Paper Parameter estimation Polarization Time domain analysis

Community:

  • [ 1 ] [Ye, Rong]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian; 350108, China
  • [ 2 ] [Cai, Jinding]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian; 350108, China
  • [ 3 ] [Chen, Qunjing]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian; 350108, China

Reprint 's Address:

  • [ye, rong]college of electrical engineering and automation, fuzhou university, fuzhou, fujian; 350108, china

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Source :

ISSN: 1755-1307

Year: 2019

Issue: 1

Volume: 218

Language: English

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: 1

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