Investigating Breathing Dynamics of a 110 kV Oil-Immersed Transformer Using Thermal-Fluid-Structure Interaction Modelling

IF 5.7 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
High Voltage Pub Date : 2026-07-02 Epub Date: 2026-02-11 DOI:10.1049/hve2.70142
Lujia Wang, Guangyi Chen, Dong Shang, Xiang Zhang, Haitao Yang, Jianwen Zhang
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Abstract

The breathing system of an oil-immersed transformer is of vital importance for maintaining equilibrium between internal and external pressures, with any malfunction potentially disrupting the transformer's stable operation. This study develops a thermal–fluid–structure interaction (TFSI) model to simulate the breathing phenomenon in a 110 kV oil-immersed transformer, addressing the limitations of current manual inspection methods. This model analyses key breathing parameters such as breathing volume and maximum breathing rate, along with their dynamic characteristics under various load factors and ambient temperatures, revealing nonlinear and linear relationships, respectively. To validate the model, the breathing parameters of a 110 kV oil-immersed transformer were monitored over a 7-day period using a breather equipped with a breathing monitoring functionality. Comparison between simulation results and monitoring data for the period from 7 p.m. March 7 to 7 p.m. March 8 revealed discrepancies of 6.93% for the maximum daily breathing rate and 6.73% for maximum daily breathing volume. This study contributes to the field by providing a more accurate and efficient method for analysing transformer breathing dynamics, potentially enhancing early detection of breathing system malfunctions, optimising breather maintenance schedules and improving diagnosis of pressure-related faults in oil-immersed transformers.

Abstract Image

基于热-流-固耦合模型的110 kV油浸变压器呼吸动力学研究
油浸式变压器的呼吸系统对于维持变压器内外压力的平衡至关重要,任何故障都可能影响变压器的稳定运行。针对目前人工检测方法的局限性,建立了热-流-固耦合(TFSI)模型来模拟110kv油浸变压器的呼吸现象。该模型分析了呼吸量和最大呼吸频率等关键呼吸参数在不同负荷因素和环境温度下的动态特性,分别揭示了非线性和线性关系。为了验证该模型,使用配备呼吸监测功能的呼吸器对110 kV油浸式变压器的呼吸参数进行了为期7天的监测。模拟结果与监测数据的比较3月7日至晚上7点3月8日的最大日呼吸频率和最大日呼吸量的差异分别为6.93%和6.73%。本研究提供了一种更准确、更有效的方法来分析变压器呼吸动力学,有可能提高呼吸系统故障的早期检测,优化呼吸维护计划,提高油浸式变压器压力相关故障的诊断。
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来源期刊
High Voltage
High Voltage Energy-Energy Engineering and Power Technology
CiteScore
9.60
自引率
27.30%
发文量
97
审稿时长
21 weeks
期刊介绍: High Voltage aims to attract original research papers and review articles. The scope covers high-voltage power engineering and high voltage applications, including experimental, computational (including simulation and modelling) and theoretical studies, which include: Electrical Insulation ● Outdoor, indoor, solid, liquid and gas insulation ● Transient voltages and overvoltage protection ● Nano-dielectrics and new insulation materials ● Condition monitoring and maintenance Discharge and plasmas, pulsed power ● Electrical discharge, plasma generation and applications ● Interactions of plasma with surfaces ● Pulsed power science and technology High-field effects ● Computation, measurements of Intensive Electromagnetic Field ● Electromagnetic compatibility ● Biomedical effects ● Environmental effects and protection High Voltage Engineering ● Design problems, testing and measuring techniques ● Equipment development and asset management ● Smart Grid, live line working ● AC/DC power electronics ● UHV power transmission Special Issues. Call for papers: Interface Charging Phenomena for Dielectric Materials - https://digital-library.theiet.org/files/HVE_CFP_ICP.pdf Emerging Materials For High Voltage Applications - https://digital-library.theiet.org/files/HVE_CFP_EMHVA.pdf
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