High-frequency modeling of a three-winding power transformer using sweep frequency response analysis

Yeunggurl Yoon, Yongju Son, Jintae Cho, Suhyeong Jang, Young Geun Kim, Sungyun Choi

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


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.

Original languageEnglish
Article number4009
Issue number13
Publication statusPublished - 2021 Jul 1

Bibliographical note

Funding Information:
Funding: This research was supported in part by LS Electric Co., Ltd., in part by the KEPCO Research Institute under the project entitled by “A Research of Advanced Distribution Planning System for Mid-long term(R20DA16),” and in part by the Basic Research Program through the National Research Foundation of Korea(NRF) funded by the MSIT(No. 2020R1A4A1019405).

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.


  • FRA
  • Parameter estimation
  • Power transformer
  • SFRA
  • Transformer

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Building and Construction
  • Fuel Technology
  • Engineering (miscellaneous)
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering


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