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Study On Application Of Oil Chromatogram Monitoring Technique For Power Transformer Of 31.5MVA In Pingliang Station

Posted on:2003-08-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y J LiFull Text:PDF
GTID:2132360092475170Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The paper analyses the on-line monitoring power transformer 's chromatogram of oil in the Pingliang 110kV substation and investigation the status in quo of transformer insulation monitor based on chromatogram of transformer oil. After the analysis of deflection sources in routine chromatogram of oil test, the paper brings into effect successfully the equipment on the base of characteristic infiltrative film monitoring six gases dissolved in transformer oil in the Pingliang substation 2# transformer. Through analyzing a great deal practical data, it is proved that the monitoring system is stable and reliable, and has the ability to show the transformer's running state. Besides, the system found a fault in the transformer, and the results detecting can be a warrant of state-repair.On the bases of a great deal of investigates and researches, the paper sums up the interfere sources on locale. Especially the paper draws some valuable conclusion that the oil cycle style, running state, configuration, oil flow distributing of transformer, position of faults and destroy degree when confirming and choosing sampling position. In the paper, the relationships are introduced between gases category, and content dissolved in transformer oil and the destroy degree and fault style.The author have a deep research on the method of grey clustering, and classify together about consanguineous samples when giving attention to the sample characteristics' complexity and illegibility, so the system can realize expectant aims on the bases of lesser information. The analysis of instances testifies that the implement of theory of grey clustering on fault diagnosis in transformer is effective and the calculation is convenient.
Keywords/Search Tags:power transformer, chromatogram of oil, on-line monitoring, grey clustering, fault diagnosis
PDF Full Text Request
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