On-line detection of transformer excitation parameters based on fundamental wave extraction
ID:156 View Protection:PUBLIC Updated Time:2020-10-15 20:04:23 Hits:740 Poster Presentation

Start Time:2020-11-04 16:00(Asia/Shanghai)

Duration:5min

Session:G Poster session » G2Poster Session 2 and Poster Session 7

Abstract
 The safe and stable operation of transformer is very important to the operation of power system. The excitation parameters can reflect the health and operation state of transformer winding, and the real-time monitoring of transformer excitation parameters is of great significance for the elimination of potential faults. At present, the identification of transformer excitation parameters is based on the excitation current containing harmonic components, which is difficult to calculate and requires a lot of calculation. In this paper, a fundamental wave extraction method based on second order generalized integrator-frequency locked loop (SOGI-FLL) is introduced. The SOGI-FLL is used to extract the fundamental wave of the primary and secondary side voltage and current, and the transformer circuit equation is used for calculation, and then the excitation impedance parameters of the transformer are obtained. Finally, the effectiveness of the identification method for transformer condition monitoring is verified by experiments.
Keywords
Excitation Parameters,Fundamental wave extraction,Frequency-locked loop (FLL),Second-Order Generalized Integrator(SOGI),Transformer
Speaker
Yinqing Zhang
College of New Energy; China University of Petroleum (Eastern China)

Submission Author
Yinqing Zhang College of New Energy; China University of Petroleum (Eastern China)
Rende Zhao College of New Energy;China University of Petroleum (Eastern China)
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Important Date
  • Conference Date

    Nov 02

    2020

    to

    Nov 04

    2020

  • Oct 27 2020

    Draft paper submission deadline

  • Nov 03 2020

    Contribution Submission Deadline

  • Nov 04 2020

    Registration deadline

  • Nov 17 2020

    Final Paper Deadline

Sponsored By
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
Organized By
Huazhong University of Science and Technology
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