Research on temperature distribution characteristics of oil‐immersed power transformers based on fluid network decoupling

Xu, Yongming; Xu, Ziyi; Ren, Congrui; Wang, Yaodong

Abstract

Due to the complex structure and large size of large‐capacity oil‐immersed power transformers, it is difficult to predict the winding temperature distribution directly by numerical analysis. A 180 MVA, 220 kV oil‐immersed self‐cooling power transformer is used as the research object. The authors decouple the internal fluid domain of the power transformer into four regions: high voltage windings, medium voltage windings, low voltage windings, and radiators through fluid networks and establish the 3D fluid‐temperature field numerical analysis model of the four regions, respectively. The results of the fluid network model are used as the inlet boundary conditions for the 3D fluid‐temperature numerical analysis model. In turn, the fluid resistance of the fluid network model is corrected according to the results of the 3D fluid‐temperature field numerical analysis model. The prediction of the temperature distribution of windings is realised by the coupling calculation between the fluid network model and the 3D fluid‐temperature field numerical analysis model. Based on this, the effect of the loading method of the heat source is also investigated using the proposed method. The hotspot temperatures of the high‐voltage, medium‐voltage, and low‐voltage windings are 89.43, 86.33, and 80.96°C, respectively. Finally, an experimental platform is built to verify the results. The maximum relative error between calculated and measured values is 4.42%, which meets the engineering accuracy requirement.

Citation

Xu, Y., Xu, Z., Ren, C., & Wang, Y. (online). Research on temperature distribution characteristics of oil‐immersed power transformers based on fluid network decoupling. High Voltage, https://doi.org/10.1049/hve2.12488

• Journal Article Type: Article
• Acceptance Date: Apr 26, 2024
• Online Publication Date: Sep 27, 2024
• Deposit Date: Oct 1, 2024
• Publicly Available Date: Oct 2, 2024
• Journal: High Voltage
• Print ISSN: 2397-7264
• Electronic ISSN: 2397-7264
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1049/hve2.12488
• Public URL: https://durham-repository.worktribe.com/output/2893006