Research on Temperature Rise in Stator Transposition Bar in a Turbine Generator Based on a Coupled Loss Temperature Thermal Network Method

The present paper addresses a problem that many traditional analytical calculation methods ignore the coupling relationship between loss and temperature rise. In this paper, a 51.51 MW turbine generator is taken as the research object, and a transient thermal network method coupled with loss and temperature rise for calculating the temperature rise in a stator transposition bar is proposed. Considering the influence of temperature change on the AC loss of strands, a thermal network model coupled with loss and temperature rise is established to complete the calculation of thermal conductivity matrix parameters. A sparse matrix storage method is proposed to reduce the memory usage of the high-order matrix. The linear iterative method is introduced to accelerate the solution of the equation. The Newton Krylov method is used to handle the coupling between loss and temperature rise. In this way, the transient temperature rise in the stator transposition bar is calculated rapidly. The accuracy of the thermal network model coupled with loss and temperature rise is verified by comparing its results with the three-dimensional simulations. Finally, a new combined transposition structure is proposed to suppress the temperature rise in the stator transposition bar.

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Publication Details

Journal
Electronics
Published
2026-05-18
DOI
https://doi.org/10.3390/electronics15102161
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Temperature Rise in Stator Transposition Bar in a Turbine Generator Based on a Coupled Loss Temperature Thermal Network Method

D Wang, Lianlian Gao, Chunyan Zhu, Yanping Liang et al.
Electronics
Electric Motor Design and Analysis
article

Research on Temperature Rise in Stator Transposition Bar in a Turbine Generator Based on a Coupled Loss Temperature Thermal Network Method

D Wang, Lianlian Gao, Chunyan Zhu, Yanping Liang, Xu Bian, Chenguang Wang
article en

Abstract

The present paper addresses a problem that many traditional analytical calculation methods ignore the coupling relationship between loss and temperature rise. In this paper, a 51.51 MW turbine generator is taken as the research object, and a transient thermal network method coupled with loss and temperature rise for calculating the temperature rise in a stator transposition bar is proposed. Considering the influence of temperature change on the AC loss of strands, a thermal network model coupled with loss and temperature rise is established to complete the calculation of thermal conductivity matrix parameters. A sparse matrix storage method is proposed to reduce the memory usage of the high-order matrix. The linear iterative method is introduced to accelerate the solution of the equation. The Newton Krylov method is used to handle the coupling between loss and temperature rise. In this way, the transient temperature rise in the stator transposition bar is calculated rapidly. The accuracy of the thermal network model coupled with loss and temperature rise is verified by comparing its results with the three-dimensional simulations. Finally, a new combined transposition structure is proposed to suppress the temperature rise in the stator transposition bar.

ElectronicsVol. 15(10)
Harbin University of Science and Technology (CN)
Natural Science Foundation of Heilongjiang Province
Affordable and clean energy
Openalex Percentile: Top 8%
Electric Motor Design and Analysis
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