IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i12p3163-d1680180.html
   My bibliography  Save this article

FEM Simulation of FDS Response in Oil-Impregnated Paper Insulation of Current Transformers with Axial Aging Variation

Author

Listed:
  • Lujia Wang

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Yutong Zhang

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Ling Yang

    (School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiaoyu Hu

    (State Grid Anhui Electric Power Research Institute, Hefei 230061, China)

  • Sien Xu

    (China Electric Power Research Institute, Wuhan 430074, China)

  • Weimin Huang

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China)

  • Longzhen Wang

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230061, China)

Abstract

The aging of oil-impregnated paper (OIP) insulation is one of the key factors influencing the service life of oil-immersed current transformers. Frequency domain spectroscopy (FDS), supported by mathematical models or simulation methods, is commonly used to evaluate insulation conditions. However, traditional aging models typically ignored significant aging differences between the transformer OIP head and straight sections caused by the axial temperature gradient. To address this limitation, an accelerated thermal aging experiment was performed on a full-scale oil-immersed inverted current transformer prototype. Based on the analysis of its internal temperature field, the axial temperature gradient boundary of the main insulation was identified. By applying region-specific aging control strategies to different axial segments, a FEM model incorporating axial aging variation was developed to analyze its influence on FDS. The simulation results closely matched experimental data, with a maximum deviation below 9.22%. The model’s applicability was further confirmed through the aging prediction of an in-service transformer. The proposed model is expected to provide a more accurate basis for predicting the FDS characteristics of OIP insulation in current transformers.

Suggested Citation

  • Lujia Wang & Yutong Zhang & Ling Yang & Xiaoyu Hu & Sien Xu & Weimin Huang & Longzhen Wang, 2025. "FEM Simulation of FDS Response in Oil-Impregnated Paper Insulation of Current Transformers with Axial Aging Variation," Energies, MDPI, vol. 18(12), pages 1-21, June.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:12:p:3163-:d:1680180
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/12/3163/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/12/3163/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jan Subocz & Andrzej Mrozik & Patryk Bohatyrewicz & Marek Zenker, 2020. "Condition Assessment of HV Bushings with Solid Insulation based on the SVM and the FDS Methods," Energies, MDPI, vol. 13(4), pages 1-13, February.
    2. Krzysztof Walczak & Jaroslaw Gielniak, 2021. "Temperature Distribution in the Insulation System of Condenser-Type HV Bushing—Its Effect on Dielectric Response in the Frequency Domain," Energies, MDPI, vol. 14(13), pages 1-18, July.
    3. Feng Yang & Lin Du & Lijun Yang & Chao Wei & Youyuan Wang & Liman Ran & Peng He, 2018. "A Parameterization Approach for the Dielectric Response Model of Oil Paper Insulation Using FDS Measurements," Energies, MDPI, vol. 11(3), pages 1-17, March.
    4. Bo Qi & Quanmin Dai & Chengrong Li & Zipeng Zeng & Mingli Fu & Ran Zhuo, 2018. "The Mechanism and Diagnosis of Insulation Deterioration Caused by Moisture Ingress into Oil-Impregnated Paper Bushing," Energies, MDPI, vol. 11(6), pages 1-12, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Krzysztof Walczak & Jaroslaw Gielniak, 2021. "Temperature Distribution in the Insulation System of Condenser-Type HV Bushing—Its Effect on Dielectric Response in the Frequency Domain," Energies, MDPI, vol. 14(13), pages 1-18, July.
    2. Mingxi Zhu & Liming Wang & Fanghui Yin & Masoud Farzaneh & Hongwei Mei & Lu Wen, 2018. "The Effect of a Vertical Electric Field on the Surface Flashover Characteristics of a Bushing Model," Energies, MDPI, vol. 11(6), pages 1-14, June.
    3. Chenmeng Zhang & Kailin Zhao & Shijun Xie & Can Hu & Yu Zhang & Nanxi Jiang, 2021. "Research on the Time-Domain Dielectric Response of Multiple Impulse Voltage Aging Oil-Film Dielectrics," Energies, MDPI, vol. 14(7), pages 1-15, April.
    4. Pawel Zukowski & Konrad Kierczynski & Przemyslaw Rogalski & Vitalii Bondariev & Marek Zenker & Rafal Pajak & Marek Szrot & Pawel Molenda & Tomasz N. Koltunowicz, 2024. "Analysis of the Influence of Insulation Moisture during Long-Term Exploitation of Transformers on Their Reliability as Determined by Alternating Current Electrical Parameters," Energies, MDPI, vol. 17(8), pages 1-23, April.
    5. Zhonghuan Su & Longfu Luo & Jun Liu & Zhongxiang Li & Hu Luo & Haonan Bai, 2022. "The Study of VFTO Distribution in the Insulation System of IOCT Used in Traction Network," Energies, MDPI, vol. 15(2), pages 1-13, January.
    6. Guangya Zhu & Shiyu Ma & Shuai Yang & Yue Zhang & Bingyan Wang & Kai Zhou, 2025. "Identification of Dielectric Response Parameters of Pumped Storage Generator-Motor Stator Winding Insulation Based on Sparsity-Enhanced Dynamic Decomposition of Depolarization Current," Energies, MDPI, vol. 18(13), pages 1-22, June.
    7. Benhui Lai & Shichang Yang & Heng Zhang & Yiyi Zhang & Xianhao Fan & Jiefeng Liu, 2020. "Performance Assessment of Oil-Immersed Cellulose Insulator Materials Using Time–Domain Spectroscopy under Varying Temperature and Humidity Conditions," Energies, MDPI, vol. 13(17), pages 1-14, August.
    8. Tomasz N. Kołtunowicz & Konrad Kierczynski & Pawel Okal & Aleksy Patryn & Miroslav Gutten, 2022. "Diagnostics on the Basis of the Frequency-Temperature Dependences of the Loss Angle Tangent of Heavily Moistured Oil-Impregnated Pressboard," Energies, MDPI, vol. 15(8), pages 1-14, April.
    9. Giovanni Hernandez & Abner Ramirez, 2022. "Dielectric Response Model for Transformer Insulation Using Frequency Domain Spectroscopy and Vector Fitting," Energies, MDPI, vol. 15(7), pages 1-14, April.
    10. Pasquale Cambareri & Carlo de Falco & Luca Di Rienzo & Paolo Seri & Gian Carlo Montanari, 2021. "Simulation and Modelling of Transient Electric Fields in HVDC Insulation Systems Based on Polarization Current Measurements," Energies, MDPI, vol. 14(24), pages 1-12, December.
    11. Jonathan Velasco Costa & Diogo F. F. da Silva & Paulo J. Costa Branco, 2022. "Large-Power Transformers: Time Now for Addressing Their Monitoring and Failure Investigation Techniques," Energies, MDPI, vol. 15(13), pages 1-59, June.
    12. Jiansheng Li & Zhi Li & Judong Chen & Yifan Bie & Jun Jiang & Xiaoping Yang, 2021. "Oil Pressure Monitoring for Sealing Failure Detection and Diagnosis of Power Transformer Bushing," Energies, MDPI, vol. 14(23), pages 1-17, November.
    13. Jiacheng Xie & Ming Dong & Boning Yu & Yizhuo Hu & Kaige Yang & Changjie Xia, 2020. "Physical Model for Frequency Domain Spectroscopy of Oil–Paper Insulation in a Wide Temperature Range by a Novel Analysis Approach," Energies, MDPI, vol. 13(17), pages 1-17, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:12:p:3163-:d:1680180. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.