IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i6p1395-d333412.html
   My bibliography  Save this article

Frequency Response Modelling of Transformer Windings Connected in Parallel

Author

Listed:
  • Szymon Banaszak

    (Faculty of Electrical Engineering, West Pomeranian University of Technology, 70-310 Szczecin, Poland)

  • Konstanty Marek Gawrylczyk

    (Faculty of Electrical Engineering, West Pomeranian University of Technology, 70-310 Szczecin, Poland)

  • Katarzyna Trela

    (Faculty of Electrical Engineering, West Pomeranian University of Technology, 70-310 Szczecin, Poland)

Abstract

This paper describes the approach to the frequency response modelling of transformer windings consisting of coils connected in parallel. At present, computer models are intensively developed with the aim of simulating the influence of faults on the frequency response of the active part of power transformers. Frequency response analysis (FRA) is one of the standard methods used for the assessment of the mechanical condition of a transformer’s windings and core. The interpretation of the FRA results is crucial in the diagnostics of the active part of the transformer. Proper simulations of the FRA results allow the improvement and simplification of the interpretation process of the windings’ faults. Usually only serial winding wires are simulated in computer modelling and parallel wires are simplified, leading to simulation inaccuracies. In this work, a combined electromagnetic field/network method, which includes parallel connections of the coils, is proposed. The method is based on lumped RLC elements. The results of the analysis conducted by the computer model are referred to as the real transformer measurement. The modelling was also performed for the case of a winding with a fault. The results of modelling were assessed with four numerical indices used for FRA interpretation.

Suggested Citation

  • Szymon Banaszak & Konstanty Marek Gawrylczyk & Katarzyna Trela, 2020. "Frequency Response Modelling of Transformer Windings Connected in Parallel," Energies, MDPI, vol. 13(6), pages 1-13, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1395-:d:333412
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/6/1395/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/6/1395/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Avinash Srikanta Murthy & Norhafiz Azis & Salem Al-Ameri & Mohd Fairouz Mohd Yousof & Jasronita Jasni & Mohd Aizam Talib, 2018. "Investigation of the Effect of Winding Clamping Structure on Frequency Response Signature of 11 kV Distribution Transformer," Energies, MDPI, vol. 11(9), pages 1-13, September.
    2. Saleh Alsuhaibani & Yasin Khan & Abderrahmane Beroual & Nazar Hussain Malik, 2016. "A Review of Frequency Response Analysis Methods for Power Transformer Diagnostics," Energies, MDPI, vol. 9(11), pages 1-17, October.
    3. Stefan Tenbohlen & Sebastian Coenen & Mohammad Djamali & Andreas Müller & Mohammad Hamed Samimi & Martin Siegel, 2016. "Diagnostic Measurements for Power Transformers," Energies, MDPI, vol. 9(5), pages 1-25, May.
    4. Konstanty Marek Gawrylczyk & Katarzyna Trela, 2019. "Frequency Response Modeling of Transformer Windings Utilizing the Equivalent Parameters of a Laminated Core," Energies, MDPI, vol. 12(12), pages 1-14, June.
    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. Chunguang Suo & Yanan Ren & Wenbin Zhang & Yincheng Li & Yanyun Wang & Yi Ke, 2021. "Evaluation Method for Winding Performance of Distribution Transformer," Energies, MDPI, vol. 14(18), pages 1-25, September.
    2. Konstanty M. Gawrylczyk & Szymon Banaszak, 2021. "Recent Developments in the Modelling of Transformer Windings," Energies, MDPI, vol. 14(10), pages 1-22, May.
    3. Song Wang & Shuang Wang & Ying Cui & Jie Long & Fuqiang Ren & Shengchang Ji & Shuhong Wang, 2020. "An Experimental Study of the Sweep Frequency Impedance Method on the Winding Deformation of an Onsite Power Transformer," Energies, MDPI, vol. 13(14), pages 1-13, July.

    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. Maciej Kuniewski, 2020. "FRA Diagnostics Measurement of Winding Deformation in Model Single-Phase Transformers Made with Silicon-Steel, Amorphous and Nanocrystalline Magnetic Cores," Energies, MDPI, vol. 13(10), pages 1-23, May.
    2. Eugeniusz Kornatowski & Szymon Banaszak, 2019. "Frequency Response Quality Index for Assessing the Mechanical Condition of Transformer Windings," Energies, MDPI, vol. 13(1), pages 1-15, December.
    3. 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.
    4. Szymon Banaszak & Wojciech Szoka, 2018. "Cross Test Comparison in Transformer Windings Frequency Response Analysis," Energies, MDPI, vol. 11(6), pages 1-12, May.
    5. Tomasz Piotrowski & Pawel Rozga & Ryszard Kozak, 2019. "Comparative Analysis of the Results of Diagnostic Measurements with an Internal Inspection of Oil-Filled Power Transformers," Energies, MDPI, vol. 12(11), pages 1-18, June.
    6. Szymon Banaszak & Eugeniusz Kornatowski & Wojciech Szoka, 2021. "The Influence of the Window Width on FRA Assessment with Numerical Indices," Energies, MDPI, vol. 14(2), pages 1-18, January.
    7. Qing Yang & Peiyu Su & Yong Chen, 2017. "Comparison of Impulse Wave and Sweep Frequency Response Analysis Methods for Diagnosis of Transformer Winding Faults," Energies, MDPI, vol. 10(4), pages 1-16, March.
    8. Zhongyong Zhao & Chao Tang & Qu Zhou & Lingna Xu & Yingang Gui & Chenguo Yao, 2017. "Identification of Power Transformer Winding Mechanical Fault Types Based on Online IFRA by Support Vector Machine," Energies, MDPI, vol. 10(12), pages 1-16, December.
    9. Konstanty Marek Gawrylczyk & Katarzyna Trela, 2019. "Frequency Response Modeling of Transformer Windings Utilizing the Equivalent Parameters of a Laminated Core," Energies, MDPI, vol. 12(12), pages 1-14, June.
    10. Mehran Tahir & Stefan Tenbohlen, 2019. "A Comprehensive Analysis of Windings Electrical and Mechanical Faults Using a High-Frequency Model," Energies, MDPI, vol. 13(1), pages 1-25, December.
    11. Lefeng Cheng & Tao Yu & Guoping Wang & Bo Yang & Lv Zhou, 2018. "Hot Spot Temperature and Grey Target Theory-Based Dynamic Modelling for Reliability Assessment of Transformer Oil-Paper Insulation Systems: A Practical Case Study," Energies, MDPI, vol. 11(1), pages 1-26, January.
    12. Yulong Wang & Xiaohong Zhang & Lili Li & Jinyang Du & Junguo Gao, 2019. "Design of Partial Discharge Test Environment for Oil-Filled Submarine Cable Terminals and Ultrasonic Monitoring," Energies, MDPI, vol. 12(24), pages 1-14, December.
    13. Avinash Srikanta Murthy & Norhafiz Azis & Jasronita Jasni & Mohammad Lutfi Othman & Mohd Fairouz Mohd Yousof & Mohd Aizam Talib, 2020. "Extraction of winding parameters for 33/11 kV, 30 MVA transformer based on finite element method for frequency response modelling," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-22, August.
    14. Fatih Atalar & Aysel Ersoy & Pawel Rozga, 2022. "Investigation of Effects of Different High Voltage Types on Dielectric Strength of Insulating Liquids," Energies, MDPI, vol. 15(21), pages 1-25, October.
    15. Patryk Bohatyrewicz & Szymon Banaszak, 2022. "Assessment Criteria of Changes in Health Index Values over Time—A Transformer Population Study," Energies, MDPI, vol. 15(16), pages 1-15, August.
    16. Alexandra I. Khalyasmaa & Pavel V. Matrenin & Stanislav A. Eroshenko & Vadim Z. Manusov & Andrey M. Bramm & Alexey M. Romanov, 2022. "Data Mining Applied to Decision Support Systems for Power Transformers’ Health Diagnostics," Mathematics, MDPI, vol. 10(14), pages 1-25, July.
    17. Mehran Tahir & Stefan Tenbohlen, 2021. "Transformer Winding Condition Assessment Using Feedforward Artificial Neural Network and Frequency Response Measurements," Energies, MDPI, vol. 14(11), pages 1-25, May.
    18. Satoru Miyazaki, 2021. "Detection of Winding Axial Displacement of a Real Transformer by Frequency Response Analysis without Fingerprint Data," Energies, MDPI, vol. 15(1), pages 1-14, December.
    19. Chunguang Suo & Yanan Ren & Wenbin Zhang & Yincheng Li & Yanyun Wang & Yi Ke, 2021. "Evaluation Method for Winding Performance of Distribution Transformer," Energies, MDPI, vol. 14(18), pages 1-25, September.
    20. Ruohan Gong & Jiangjun Ruan & Jingzhou Chen & Yu Quan & Jian Wang & Cihan Duan, 2017. "Analysis and Experiment of Hot-Spot Temperature Rise of 110 kV Three-Phase Three-Limb Transformer," Energies, MDPI, vol. 10(8), pages 1-12, July.

    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:13:y:2020:i:6:p:1395-:d:333412. 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.