Multi-Physics Modeling and Simulation of Oil-Immersed Power Transformers Based on 3D Finite Element Analysis and Finite Volume Method

Reza Ilka; Jiang Biao He; Weijun Yin; Jose E. Contreras; Carlos G. Cavazos

doi:10.1109/IAS54023.2022.9939992

Multi-Physics Modeling and Simulation of Oil-Immersed Power Transformers Based on 3D Finite Element Analysis and Finite Volume Method

Reza Ilka, Jiang Biao He, Weijun Yin, Jose E. Contreras, Carlos G. Cavazos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Power transformers are the essential components in almost every electric power network. Uninterrupted operation of power transformers plays a critical role in guaranteeing the reliability and safety of the power grid. In this paper, aiming at predicting the reliability of large power transformers, multi-physics modeling and simulations are carried out based on three-dimensional (3D) finite element analysis (FEA) and finite volume method (FVM). Specifically, FEA electromagnetic modeling and simulation is performed in Ansys Maxwell to extract the transformer winding losses. Afterwards, thermal model is established in Ansys Fluent to obtain the temperature distribution, and more importantly to identify the transformer winding hot-spot temperature (HST). Accordingly, aging acceleration factor is determined by the winding HST. A sensitivity analysis is also conducted to determine the effects of oil properties on the temperature distribution and HST.

Original language	English
Title of host publication	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022
ISBN (Electronic)	9781665478151
DOIs	https://doi.org/10.1109/IAS54023.2022.9939992
State	Published - 2022
Event	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022 - Detroit, United States Duration: Oct 9 2022 → Oct 14 2022

Publication series

Name	Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume	2022-October
ISSN (Print)	0197-2618

Conference

Conference	2022 IEEE Industry Applications Society Annual Meeting, IAS 2022
Country/Territory	United States
City	Detroit
Period	10/9/22 → 10/14/22

Bibliographical note

Funding Information:
The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR0001391. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

Publisher Copyright:
© 2022 IEEE.

Keywords

finite element analysis (FEA)
finite volume method (FVM)
hot-spot temperature
Oil-immersed power transformer
reliability

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IAS54023.2022.9939992

Cite this

Ilka, R., He, J. B., Yin, W., Contreras, J. E., & Cavazos, C. G. (2022). Multi-Physics Modeling and Simulation of Oil-Immersed Power Transformers Based on 3D Finite Element Analysis and Finite Volume Method. In 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022 (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society); Vol. 2022-October). https://doi.org/10.1109/IAS54023.2022.9939992

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title = "Multi-Physics Modeling and Simulation of Oil-Immersed Power Transformers Based on 3D Finite Element Analysis and Finite Volume Method",

abstract = "Power transformers are the essential components in almost every electric power network. Uninterrupted operation of power transformers plays a critical role in guaranteeing the reliability and safety of the power grid. In this paper, aiming at predicting the reliability of large power transformers, multi-physics modeling and simulations are carried out based on three-dimensional (3D) finite element analysis (FEA) and finite volume method (FVM). Specifically, FEA electromagnetic modeling and simulation is performed in Ansys Maxwell to extract the transformer winding losses. Afterwards, thermal model is established in Ansys Fluent to obtain the temperature distribution, and more importantly to identify the transformer winding hot-spot temperature (HST). Accordingly, aging acceleration factor is determined by the winding HST. A sensitivity analysis is also conducted to determine the effects of oil properties on the temperature distribution and HST.",

keywords = "finite element analysis (FEA), finite volume method (FVM), hot-spot temperature, Oil-immersed power transformer, reliability",

author = "Reza Ilka and He, {Jiang Biao} and Weijun Yin and Contreras, {Jose E.} and Cavazos, {Carlos G.}",

note = "Funding Information: The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR0001391. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Publisher Copyright: {\textcopyright} 2022 IEEE.; null ; Conference date: 09-10-2022 Through 14-10-2022",

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doi = "10.1109/IAS54023.2022.9939992",

language = "English",

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Ilka, R, He, JB, Yin, W, Contreras, JE & Cavazos, CG 2022, Multi-Physics Modeling and Simulation of Oil-Immersed Power Transformers Based on 3D Finite Element Analysis and Finite Volume Method. in 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022. Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), vol. 2022-October, 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022, Detroit, United States, 10/9/22. https://doi.org/10.1109/IAS54023.2022.9939992

Multi-Physics Modeling and Simulation of Oil-Immersed Power Transformers Based on 3D Finite Element Analysis and Finite Volume Method. / Ilka, Reza; He, Jiang Biao; Yin, Weijun et al.

2022 IEEE Industry Applications Society Annual Meeting, IAS 2022. 2022. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society); Vol. 2022-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Contreras, Jose E.

AU - Cavazos, Carlos G.

N1 - Funding Information: The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR0001391. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - Power transformers are the essential components in almost every electric power network. Uninterrupted operation of power transformers plays a critical role in guaranteeing the reliability and safety of the power grid. In this paper, aiming at predicting the reliability of large power transformers, multi-physics modeling and simulations are carried out based on three-dimensional (3D) finite element analysis (FEA) and finite volume method (FVM). Specifically, FEA electromagnetic modeling and simulation is performed in Ansys Maxwell to extract the transformer winding losses. Afterwards, thermal model is established in Ansys Fluent to obtain the temperature distribution, and more importantly to identify the transformer winding hot-spot temperature (HST). Accordingly, aging acceleration factor is determined by the winding HST. A sensitivity analysis is also conducted to determine the effects of oil properties on the temperature distribution and HST.

AB - Power transformers are the essential components in almost every electric power network. Uninterrupted operation of power transformers plays a critical role in guaranteeing the reliability and safety of the power grid. In this paper, aiming at predicting the reliability of large power transformers, multi-physics modeling and simulations are carried out based on three-dimensional (3D) finite element analysis (FEA) and finite volume method (FVM). Specifically, FEA electromagnetic modeling and simulation is performed in Ansys Maxwell to extract the transformer winding losses. Afterwards, thermal model is established in Ansys Fluent to obtain the temperature distribution, and more importantly to identify the transformer winding hot-spot temperature (HST). Accordingly, aging acceleration factor is determined by the winding HST. A sensitivity analysis is also conducted to determine the effects of oil properties on the temperature distribution and HST.

KW - finite element analysis (FEA)

KW - finite volume method (FVM)

KW - hot-spot temperature

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BT - 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022

Y2 - 9 October 2022 through 14 October 2022

ER -

Ilka R, He JB, Yin W, Contreras JE, Cavazos CG. Multi-Physics Modeling and Simulation of Oil-Immersed Power Transformers Based on 3D Finite Element Analysis and Finite Volume Method. In 2022 IEEE Industry Applications Society Annual Meeting, IAS 2022. 2022. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)). doi: 10.1109/IAS54023.2022.9939992

Multi-Physics Modeling and Simulation of Oil-Immersed Power Transformers Based on 3D Finite Element Analysis and Finite Volume Method

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this