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基于时序关联分析的220 kV变压器油色谱异常处理

Anomaly Handling of Chromatographic Abnormalities in 220 kV Transformer Oil Based on Temporal Correlation Analysis

  • 摘要: 介绍了一起220 kV强迫油循环风冷主变油中溶解气体异常的诊断案例。故障初期,特征气体指示变压器内部存在高温过热,但本体电气试验数据正常,形成诊断矛盾。为此构建并执行了“冷却器投切状态-油化数据”时序关联分析法,精准将故障源锁定于#5冷却器潜油泵,解体检查也证实油泵内部存在烧蚀现象。系统阐述了后续管控措施与处理效果,有效避免了因误判可能引发的变压器吊罩与返厂,为处理类似故障提供了系统方法与科学经验。

     

    Abstract: This paper presents a diagnostic case involving abnormal dissolved gases in the oil of a 220 kV forced oil-circulating air-cooled main transformer. During the initial phase of the fault, characteristic gases indicated high-temperature overheating within the transformer, yet the electrical test data for the main body remained normal, creating a diagnostic contradiction. An innovative sequential correlation analysis method linking "cooler engagement status with oil chemical data" was developed and implemented. This approach precisely pinpointed the fault source to the submerged oil pump of cooler No.5. dismantling inspection confirmed burn damage inside the oil pump. The paper systematically details subsequent control measures and their outcomes, effectively preventing potential misdiagnosis-induced transformer casing removal and factory return. This case provides a systematic methodology and scientific experience for addressing similar faults.

     

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