Fast Calculation of Transformer Hot Spot Temperature Based on Winding Equivalent Thermal Parameters

ABSTRACT The hot spot temperature of a transformer is one of the critical indicators reflecting its operating status. Accurate and fast calculation of hot spot temperature is significant for the online monitoring of transformers. Considering the low computational efficiency of the transformer’s numerical full model (FM), this paper presents a model simplification method based on the equivalent thermal parameters of windings to expedite hot spot temperature computation. Initially, the representative volume element (RVE) reflecting the periodic structure of windings is selected to formulate a reduced model (RM) for the transformer. Subsequently, to achieve equivalence between the RM and the FM, the equivalent thermal parameters of the RVE are calculated, containing the equivalent thermal conductivity (ETC), the equivalent density (ED), and the equivalent specific heat capacity (ESHC). Finally, the validity of the RM is verified by the temperature rise test. The results show that, compared with the tested data, the maximum error of the hot spot temperature calculated by the RM is 2.56 K, demonstrating the accuracy of the hot spot temperature calculation by the RM. Compared with the FM, the computing time of the proposed RM is reduced to 1/189, which significantly improves the computational efficiency.

Authors

Institutions

Publication Details

Journal
High Voltage
Published
2025-10-01
DOI
https://doi.org/10.1049/hve2.70107
Citations
1
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fast Calculation of Transformer Hot Spot Temperature Based on Winding Equivalent Thermal Parameters

Junfei Jiang, Xiuchen Jiang, Yingting Luo, Si Chen et al.
1 citations
High Voltage
Power Transformer Diagnostics and Insulation
0.73
article

Fast Calculation of Transformer Hot Spot Temperature Based on Winding Equivalent Thermal Parameters

Junfei Jiang, Xiuchen Jiang, Yingting Luo, Si Chen, Gehao Sheng
article en
1 citations

Abstract

ABSTRACT The hot spot temperature of a transformer is one of the critical indicators reflecting its operating status. Accurate and fast calculation of hot spot temperature is significant for the online monitoring of transformers. Considering the low computational efficiency of the transformer’s numerical full model (FM), this paper presents a model simplification method based on the equivalent thermal parameters of windings to expedite hot spot temperature computation. Initially, the representative volume element (RVE) reflecting the periodic structure of windings is selected to formulate a reduced model (RM) for the transformer. Subsequently, to achieve equivalence between the RM and the FM, the equivalent thermal parameters of the RVE are calculated, containing the equivalent thermal conductivity (ETC), the equivalent density (ED), and the equivalent specific heat capacity (ESHC). Finally, the validity of the RM is verified by the temperature rise test. The results show that, compared with the tested data, the maximum error of the hot spot temperature calculated by the RM is 2.56 K, demonstrating the accuracy of the hot spot temperature calculation by the RM. Compared with the FM, the computing time of the proposed RM is reduced to 1/189, which significantly improves the computational efficiency.

High VoltageVol. 10(5)
Shanghai Jiao Tong University (CN), China Southern Power Grid (China) (CN), Power Grid Corporation (India) (IN)
Openalex Percentile: Top 23%
Power Transformer Diagnostics and Insulation
0.73
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.