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 and
Sungyun Choi
Additional contact information
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
Energies, 2021, vol. 14, issue 13, 1-10
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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/14/13/4009/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/13/4009/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:13:p:4009-:d:587900
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().