IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i7p2655-d787211.html
   My bibliography  Save this article

Dielectric Response Model for Transformer Insulation Using Frequency Domain Spectroscopy and Vector Fitting

Author

Listed:
  • Giovanni Hernandez

    (Center for Research and Advanced Studies of Mexico (CINVESTAV), Campus Guadalajara, Zapopan 45019, Mexico
    Advanced Design Center, Virginia Transformer Corporation, Chihuahua 31109, Mexico)

  • Abner Ramirez

    (Center for Research and Advanced Studies of Mexico (CINVESTAV), Campus Guadalajara, Zapopan 45019, Mexico)

Abstract

This paper proposes a rational approximation-based approach to find positive real parameters for the extended Debye model (EDM), aimed at condition assessment of insulation systems of power transformers. The EDM can model the slow and fast polarization phenomenon, including relaxation mechanisms with different relaxation times within a composite dielectric material. In the proposed approach, the complex permittivity of the transformer’s composite insulation is approximated via rational functions, as given by the vector fitting (VF) software tool, and the EDM parameters are identified from the obtained poles/residues. To guarantee positive real parameters, i.e., a physically realizable circuit, VF is internally modified to calculate the final residues of the rational approximation via a constrained linear least-squares problem without resorting to further post-processing algorithms, as in existing methods, hence without affecting fitting accuracy. The effectiveness of the parametrized EDM is demonstrated in two ways: (a) by reconstructing frequency domain spectroscopy (FDS) curves provided via measurements in new oil-immersed power transformers and (b) by the comparison of the calculated polarization current given by EDM versus real measurements in time domain. The achieved fitting accuracy in most of the cases is above 99 percent for the reconstructed FDS curves, while the polarization current waveform is reproduced with good agreement.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2655-:d:787211
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/7/2655/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/7/2655/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Yazid Hadjadj & Fethi Meghnefi & Issouf Fofana & Hassan Ezzaidi, 2013. "On the Feasibility of Using Poles Computed from Frequency Domain Spectroscopy to Assess Oil Impregnated Paper Insulation Conditions," Energies, MDPI, vol. 6(4), pages 1-17, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elzbieta Lesniewska, 2022. "Modern Methods of Construction Problem Solving in Designing Various Types of Instrument Transformers," Energies, MDPI, vol. 15(21), pages 1-26, November.
    2. Aniket Vatsa & Ananda Shankar Hati & Vadim Bolshev & Alexander Vinogradov & Vladimir Panchenko & Prasun Chakrabarti, 2023. "Deep Learning-Based Transformer Moisture Diagnostics Using Long Short-Term Memory Networks," Energies, MDPI, vol. 16(5), pages 1-14, March.

    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. 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.
    2. Hanbo Zheng & Jiefeng Liu & Yiyi Zhang & Yijie Ma & Yang Shen & Xiaochen Zhen & Zilai Chen, 2018. "Effectiveness Analysis and Temperature Effect Mechanism on Chemical and Electrical-Based Transformer Insulation Diagnostic Parameters Obtained from PDC Data," Energies, MDPI, vol. 11(1), pages 1-17, January.
    3. Jiake Fang & Hanbo Zheng & Jiefeng Liu & Junhui Zhao & Yiyi Zhang & Ke Wang, 2018. "A Transformer Fault Diagnosis Model Using an Optimal Hybrid Dissolved Gas Analysis Features Subset with Improved Social Group Optimization-Support Vector Machine Classifier," Energies, MDPI, vol. 11(8), pages 1-18, July.
    4. 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.
    5. Issouf Fofana & John Sabau & Amidou Betie, 2015. "Measurement of the Relative Free Radical Content of Insulating Oils of Petroleum Origin," Energies, MDPI, vol. 8(8), pages 1-13, July.
    6. 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.
    7. 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.
    8. 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.
    9. Youyuan Wang & Kun Xiao & Bijun Chen & Yuanlong Li, 2015. "Study of the Impact of Initial Moisture Content in Oil Impregnated Insulation Paper on Thermal Aging Rate of Condenser Bushing," Energies, MDPI, vol. 8(12), pages 1-13, December.
    10. Yiyi Zhang & Jiefeng Liu & Hanbo Zheng & Hua Wei & Ruijin Liao, 2017. "Study on Quantitative Correlations between the Ageing Condition of Transformer Cellulose Insulation and the Large Time Constant Obtained from the Extended Debye Model," Energies, MDPI, vol. 10(11), pages 1-17, November.
    11. Ghada Gmati & Ungarala Mohan Rao & Issouf Fofana & Patrick Picher & Oscar Arroyo-Fernàndez & Djamal Rebaine, 2023. "Bubbling Phenomena in Liquid-Filled Transformers: Background and Assessment," Energies, MDPI, vol. 16(9), pages 1-23, April.
    12. 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.
    13. Issouf Fofana & Yazid Hadjadj, 2016. "Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers," Energies, MDPI, vol. 9(9), pages 1-26, August.
    14. 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.

    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:15:y:2022:i:7:p:2655-:d:787211. 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.