Diffusion Characteristics of Dissolved Gases in Oil Under Different Oil Flow Circulations

Chuanxian Luo, Ye Zhu, Zhuangzhuang Li, Peng Yu, Zhengqin Zhou, Xu Yang and Minfu Liao ()
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Chuanxian Luo: NARI Group Corporation, State Grid Electric Power Research Institute, Nanjing 211000, China
Ye Zhu: NARI Group Corporation, State Grid Electric Power Research Institute, Nanjing 211000, China
Zhuangzhuang Li: State Grid Shandong Electric Power Research Institute, Jinan 250021, China
Peng Yu: School of Electrical Engineering, Dalian University of Technology, Dalian 116000, China
Zhengqin Zhou: NARI Group Corporation, State Grid Electric Power Research Institute, Nanjing 211000, China
Xu Yang: NARI Group Corporation, State Grid Electric Power Research Institute, Nanjing 211000, China
Minfu Liao: School of Electrical Engineering, Dalian University of Technology, Dalian 116000, China

Energies, 2025, vol. 18, issue 2, 1-10

Abstract: The prediction of dissolved gas concentrations in oil can provide crucial data for the assessment of power transformer conditions and early fault diagnosis. Current simulations mainly focus on the generation and accumulation of characteristic gases, lacking a global perspective on gas diffusion and dissolution. This study simulates the characteristic gases produced by typical faults at different flow rates. Using ANSYS 2022 R1 simulation software, a gas–liquid two-phase model is established to simulate the flow and diffusion of characteristic gases under fault conditions. Additionally, a fault-simulation gas production test platform was built based on a ±400 kV actual converter transformer. The experimental data show good consistency with the simulation trends. The results indicate that the diffusion of dissolved gases in oil is significantly affected by the oil flow velocity. At higher flow rates, the characteristic gases primarily move within the oil tank along with the oil circulation, leading to a faster rate of gas dissolution in oil and a shorter time to reach equilibrium within the tank. At lower flow rates, the diffusion of characteristic gases depends not only on oil flow circulation but also on self-diffusion driven by concentration gradients, resulting in a nonlinear change in gas concentration across various monitoring points.

Keywords: oil-immersed transformer; dissolved gas in oil; gas–liquid two-phase flow (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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