LAPSE:2023.33436
Published Article
LAPSE:2023.33436
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
April 21, 2023
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.
Keywords
FRA, parameter estimation, power transformer, SFRA, transformer
Suggested Citation
Yoon Y, Son Y, Cho J, Jang S, Kim YG, Choi S. High-Frequency Modeling of a Three-Winding Power Transformer Using Sweep Frequency Response Analysis. (2023). LAPSE:2023.33436
Author Affiliations
Yoon Y: School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea [ORCID]
Son Y: School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea [ORCID]
Cho J: Korea Electric Power Research Institute, 105 Munji-ro, Yooseong-gu, Daejeon 34056, Korea
Jang S: LS Electric Co., Ltd., 127 LS-ro, Dongan-gu, Anyang 14119, Korea
Kim YG: LS Electric Co., Ltd., 127 LS-ro, Dongan-gu, Anyang 14119, Korea
Choi S: School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea [ORCID]
Journal Name
Energies
Volume
14
Issue
13
First Page
4009
Year
2021
Publication Date
2021-07-03
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14134009, Publication Type: Journal Article
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LAPSE:2023.33436
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https://doi.org/10.3390/en14134009
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