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Condition Assessment of Paper Insulation in Oil-Immersed Power Transformers Based on the Iterative Inversion of Resistivity

Author

Listed:
  • Jiangjun Ruan

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Shuo Jin

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Zhiye Du

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Yiming Xie

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Lin Zhu

    (State Grid Hubei Electric Power Company Technology Training Center, Wuhan 430079, China)

  • Yu Tian

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Ruohan Gong

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Guannan Li

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • Min Xiong

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

Abstract

The resistivity of oil impregnated paper will decrease during its aging process. This paper takes paper resistivity as an assessment index to evaluate the insulation condition of oil impregnated paper in power transformer. The feasibility of this method are discussed in two aspects: reliability and sensitivity. Iterative inversion of paper resistivity was combined with finite element simulation. Both the bisection method and Newton’s method were used as iterative methods. After the analysis and comparison, Newton’s method was selected as the first option of paper resistivity iteration for its faster convergence. In order to consider the spatial distribution characteristic of paper aging and enhance the calculation accuracy, the resistivity calculation is expanded to a multivariate iteration based on Newton’s method, in order to consider the spatial distribution characteristic of paper aging and improve the calculation accuracy. This paper presents an exploratory research on condition assessment of oil impregnated paper insulation, and provides some reference to the security and economy operation of power transformers.

Suggested Citation

  • Jiangjun Ruan & Shuo Jin & Zhiye Du & Yiming Xie & Lin Zhu & Yu Tian & Ruohan Gong & Guannan Li & Min Xiong, 2017. "Condition Assessment of Paper Insulation in Oil-Immersed Power Transformers Based on the Iterative Inversion of Resistivity," Energies, MDPI, vol. 10(4), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:509-:d:95393
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    References listed on IDEAS

    as
    1. Janvier Sylvestre N’cho & Issouf Fofana & Yazid Hadjadj & Abderrahmane Beroual, 2016. "Review of Physicochemical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers," Energies, MDPI, vol. 9(5), pages 1-29, May.
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    Cited by:

    1. Maciej Zdanowski, 2020. "Streaming Electrification of Nycodiel 1255 Synthetic Ester and Trafo EN Mineral Oil Mixtures by Using Rotating Disc Method," Energies, MDPI, vol. 13(23), pages 1-14, November.
    2. Jiefeng Liu & Hanbo Zheng & Yiyi Zhang & Hua Wei & Ruijin Liao, 2017. "Grey Relational Analysis for Insulation Condition Assessment of Power Transformers Based Upon Conventional Dielectric Response Measurement," Energies, MDPI, vol. 10(10), pages 1-16, October.
    3. Siti Rosilah Arsad & Pin Jern Ker & Md. Zaini Jamaludin & Pooi Ying Choong & Hui Jing Lee & Vimal Angela Thiviyanathan & Young Zaidey Yang Ghazali, 2023. "Water Content in Transformer Insulation System: A Review on the Detection and Quantification Methods," Energies, MDPI, vol. 16(4), pages 1-31, February.

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