高压电器2026，Vol.62Issue(8)：43-50,8.DOI:10.13296/j.1001-1609.hva.2026.08.006
油纸绝缘系统过热故障油面气体产气规律研究
Variation Research on Dissolved Gas Generation of Overheating Faults in Oil-paper Insulation System
摘要
Abstract
The dissolved gas detection analysis(DGA)is a technical means that can effectively prevent equipment safety accidents caused by the progressive deterioration of insulation failures in oil-immersed power transformers,yet there is a significant lack of study on the variation of characteristic gases specific to overheating fault.Based on this,in this paper a test platform to study the production of dissolved gas under thermal fault of oil-immersed power transformer is setup,and the gas production of dissolved gas under overheating fault of different severity is studied through a large number of experimental systems.The experimental results show that:①Under overhating fault,the characteristic of dissolved gas is mainly H2,CH4,CO and C2H4,and the concentration and generation rate of charac-teristic gas can increase with the severity of the fault,in which the concentration of H2 in the dissolved gas can reach tens of thousands of μL/L.②At the initial stage of low temperature overheating test,C2H2,C2H6 and CO do not appear in the collected dissolved gas,but seven characteristic gases would appear on the dissolved gas and can be detected under medium temperature overheating.③At medium and low temperature overheating,the genera-tion rate of H2 is much higher than that of other six characteristic gases.④Compared with low temperature overheat-ing,the formation rate of H2,CO and CO2 under medium temperature overheating is significantly increased.The re-search results in this paper can provide technical support for the diagnosis and early warnming of internal overheat-ing fault in transformer based on dissollved characteristic gas in oil.关键词
变压器/过热故障/油面气体/变化规律/故障诊断Key words
transformer/thermal fault/free gas/variation/fault diagnosis引用本文复制引用
张国治,刘翔,黄雅兰,闫伟阳,张晓星..油纸绝缘系统过热故障油面气体产气规律研究[J].高压电器,2026,62(8):43-50,8.基金项目
国家自然科学基金(52107144) （52107144）
湖北省教育厅科技项目(Q20211401). Project Supported by National Natural Science Foundation of China(52107144),Science and Technology Project of Hubei Provincial Department of Education(Q20211401). （Q20211401）
