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Optimization of Transformer Winding Deformation Assessment Criterion Considering Insulation Aging and Moisture Content

Author

Listed:
  • Qian Wu

    (State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
    These authors contributed equally to this work and considered as co-first author.)

  • Yizhuo Hu

    (State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
    These authors contributed equally to this work and considered as co-first author.)

  • Ming Dong

    (State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China)

  • Bo Song

    (State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China)

  • Changjie Xia

    (State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China)

  • Boning Yu

    (State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China)

  • Zhibin Zhang

    (State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China)

  • Yang Liu

    (State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

Frequency response analysis is widely used to diagnose transformer winding deformation faults due to its high sensitivity, strong anti-interference capability, and equipment portability, but the results of frequency response analysis can be affected by insulation aging and moisture in the transformer, leading to errors in the diagnosis of winding deformation faults. Currently, there is no effective method to prevent such errors. This paper focuses on optimizing the criterion for diagnosing winding deformations when insulation aging and moisture are present. First, the winding frequency response curves of oil-paper insulation were determined by combining insulation aging and moisture tests of the oil-paper insulation with frequency response simulations of the transformer winding. Next, the winding deformation criterion predicting the likelihood and extent of errors diagnosing transformer winding deformations due to the insulation aging and moisture content is discussed. Finally, the corresponding criterion optimization method is proposed. The corresponding results show that insulation aging and moisture can lead to errors when using the correlation coefficient R criterion to diagnose the transformer winding deformations. Moreover, the possibility of winding deformation errors caused by the change of insulation state can be reduced by introducing the corresponding auxiliary criterion through comparing the capacitance change rate based on the frequency response method and that based on the dielectric spectrum method.

Suggested Citation

  • Qian Wu & Yizhuo Hu & Ming Dong & Bo Song & Changjie Xia & Boning Yu & Zhibin Zhang & Yang Liu, 2020. "Optimization of Transformer Winding Deformation Assessment Criterion Considering Insulation Aging and Moisture Content," Energies, MDPI, vol. 13(24), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6491-:d:458892
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    Citations

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    Cited by:

    1. Jiawei Wang & Yijing Xing & Xikui Ma & Zhiwei Zhao & Lihui Yang, 2023. "Numerical Investigations for Vibration and Deformation of Power Transformer Windings under Short-Circuit Condition," Energies, MDPI, vol. 16(14), pages 1-18, July.

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