新型变压器油浸气体的产气机理、与变压器故障关联性及其光谱在线分析技术研究

项目名称： 新型变压器油浸气体的产气机理、与变压器故障关联性及其光谱在线分析技术研究

项目编号： No.51277144

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 电工技术

项目作者： 汤晓君

作者单位： 西安交通大学

项目金额： 80万元

中文摘要： 针对目前变压器故障预测准确度不够高，以及目前存在的采用哪些气体进行预测更合理的争论等问题，本项研究拟通过油温实验、模拟变压器故障等实验探索C3和C4等新型溶解气体在变压器油中产生的产气机理与规律，并在此基础上，根据绝缘油分解产气热力学原理建立新型溶解气体成分、浓度的变化与变压器故障的关联性,突破现有基于7种特征气体信息的故障诊断框框。同时，开发出一套准确度高、稳定性强、便于标定的多组分变压器油溶解气体光谱分析技术，实现包括C3和C4气体在内的13组分以上的溶解气体在线准确分析。新型溶解气体不易"漏逸"，故障信息保真性强。新型光谱仪价格低、体积小、重量轻，且易于维护，通过开发合适的分析软件，可在不增加成本情况下实现更多组分变压器油溶解气体的分析，为变压器故障预测提供更多的信息。因此，本项目的开展有望为开发出预测更准确、更易维护、低成本的新一代变压器故障在线监测仪奠定技术基础。

中文关键词： 变压器故障；油浸气体；关联性；产气机理；光谱分析

英文摘要： Nowdays, the forecast precision of power transformer fault is still low. And there is such an argument that what gas is used to forecast power transformer fault is more reasonable. Aimed on these problems, production mechanism and generation law of novel oil-dissolved gas, such as C3 and C4, are going to be explored through implementing oil tempereature experiment,simulating power transformer fault. Then, the revalance between concentration of these of novel gas and power transformer fault is going to be built according to thermodynamics of insolation oil decomposing and the experiment result. And the frame that only 7 components of gas are used to forecast is broken up. At the same time, spectral analysis approach of oil-dissolved gas is developed. For this approach, more than 13 components of oil-dissolved gas, C3 and C4 are included, can be analyzed on line, and the analysis precision of oil-gases is high, analysis instrument is stable.Compared with 7 kinds of common oil-dissolved gas, such as CH4, C2H6, CO, CO2, C2H2, C2H4 and H2, novel oil-dissolved gas doesn't escape, and keeps natural information of power transformer fault. Compared with gas-chromatography, spectrometer has not open flame, is easy to be maintained. Furthermore, it has become smaller, lingther and cheaper. And more components of oil-dissol

英文关键词： Power Transformer Fault；Oil-dissolved Gas；Relevance；Production Theory of Oil-dissolved Gas；Spectral Analysis