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High-Frequency Modeling of a Three-Winding Power Transformer Using Sweep Frequency Response Analysis

Author

Listed:
  • Yeunggurl Yoon

    (School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

  • Yongju Son

    (School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

  • Jintae Cho

    (Korea Electric Power Research Institute, 105 Munji-ro, Yooseong-gu, Daejeon 34056, Korea)

  • SuHyeong Jang

    (LS Electric Co., Ltd., 127 LS-ro, Dongan-gu, Anyang 14119, Korea)

  • Young-Geun Kim

    (LS Electric Co., Ltd., 127 LS-ro, Dongan-gu, Anyang 14119, Korea)

  • Sungyun Choi

    (School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

Abstract

A power transformer is an essential device for stable and reliable power transfer to customers. Therefore, accurate modeling of transformers is required for simulation-based analysis with the model. The paper proposes an efficient and straightforward parameter estimation of power transformers based on sweep frequency response analysis (SFRA) test data. The method first develops a transformer model consisting of repetitive RLC sections and mutual inductances and then aligns the simulated SFRA curve with the measured one by adjusting parameters. Note that this adjustment is based on individual parameter impacts on the SFRA curve. After aligning the two curves, the final transformer model can be obtained. In this paper, actual single-phase, three-winding transformer model parameters were estimated based on field SFRA data, showing that SFRA curves simulated from the estimated model are consistent with the measured data.

Suggested Citation

  • Yeunggurl Yoon & Yongju Son & Jintae Cho & SuHyeong Jang & Young-Geun Kim & Sungyun Choi, 2021. "High-Frequency Modeling of a Three-Winding Power Transformer Using Sweep Frequency Response Analysis," Energies, MDPI, vol. 14(13), pages 1-10, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:4009-:d:587900
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    References listed on IDEAS

    as
    1. 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.
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    Cited by:

    1. Omid Elahi & Reza Behkam & Gevork B. Gharehpetian & Fazel Mohammadi, 2022. "Diagnosing Disk-Space Variation in Distribution Power Transformer Windings Using Group Method of Data Handling Artificial Neural Networks," Energies, MDPI, vol. 15(23), pages 1-32, November.

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