A Novel Fast Coupled Algorithm for Analyzing the Dynamic Behavior of the Bubble in the Transformer Oil Under the Electric Field

The presence of bubbles in the oil passage of the power transformer is extremely prone to cause partial discharges, which seriously jeopardizes the insulation strength. Therefore, it is crucial to study the dynamic characteristics of the bubble under the electric field and the bubble-induced electric field distortion before the oil passage is punctured. In this article, a coupled extended finite-element method-finite-volume method (XFEM-FVM) algorithm is proposed. The algorithm is used to improve the computational efficiency of the coupled electric-fluid field. XFEM is introduced to solve the Poisson equation for the electric field. The solved electric force will be used as source terms in the Navier-Stokes equation for the fluid field. The fluid field is solved by FVM. The level-set (LS) function transfers the bubble position between the two physical fields. It realizes the two fields coupled. Compared with the conventional method, the coupled algorithm only needs to dissect the mesh once in the whole time domain. The computational burden is reduced; meanwhile, the computational accuracy of both physical fields is ensured. The validity of the algorithm is finally verified by numerical simulations and experiments in two typical oil passages.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Dielectrics and Electrical Insulation
Published
2024-09-03
DOI
https://doi.org/10.1109/tdei.2024.3453786
Citations
1
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
Field-Weighted Citation Impact
0.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Fast Coupled Algorithm for Analyzing the Dynamic Behavior of the Bubble in the Transformer Oil Under the Electric Field

Nana Duan, Yulu Fan, Xinyu Ma, Yanxin Ren et al.
1 citations
IEEE Transactions on Dielectrics and Electrical Insulation
Power Transformer Diagnostics and Insulation
0.21
article

A Novel Fast Coupled Algorithm for Analyzing the Dynamic Behavior of the Bubble in the Transformer Oil Under the Electric Field

Nana Duan, Yulu Fan, Xinyu Ma, Yanxin Ren, Weijie Xu, Shuhong Wang
article en
1 citations

Abstract

The presence of bubbles in the oil passage of the power transformer is extremely prone to cause partial discharges, which seriously jeopardizes the insulation strength. Therefore, it is crucial to study the dynamic characteristics of the bubble under the electric field and the bubble-induced electric field distortion before the oil passage is punctured. In this article, a coupled extended finite-element method-finite-volume method (XFEM-FVM) algorithm is proposed. The algorithm is used to improve the computational efficiency of the coupled electric-fluid field. XFEM is introduced to solve the Poisson equation for the electric field. The solved electric force will be used as source terms in the Navier-Stokes equation for the fluid field. The fluid field is solved by FVM. The level-set (LS) function transfers the bubble position between the two physical fields. It realizes the two fields coupled. Compared with the conventional method, the coupled algorithm only needs to dissect the mesh once in the whole time domain. The computational burden is reduced; meanwhile, the computational accuracy of both physical fields is ensured. The validity of the algorithm is finally verified by numerical simulations and experiments in two typical oil passages.

IEEE Transactions on Dielectrics and Electrical InsulationVol. 32(3)
China XD Group (China) (CN), State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 49%
Power Transformer Diagnostics and Insulation
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.