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Power transformer condition assessment based on online monitor with SOFC chromatographic detector
International Journal of Electrical Power & Energy Systems ( IF 5.2 ) Pub Date : 2020-06-01 , DOI: 10.1016/j.ijepes.2019.105805
Jingmin Fan , Chenyang Fu , Hao Yin , Yu Wang , Qinji Jiang

Abstract Power transformer is vital for energy conversion in power system, the condition assessment of which based on dissolved gas analysis (DGA) is used worldwide. In this paper, an online monitor based on solid oxide fuel cell (SOFC) detector is designed to address the poor stability, low sensitivity of other online-monitoring system. The system is composed of a gas measurement subsystem, a central controlling unit, and an intelligent fault diagnosis subsystem. A portable gas chromatography module developed using SOFC detector. The quantificational algorithm is derived, on basis of which calibration can be skipped. Due to the essential role of the chromatography column as well as gas the detector’s temperature, proportional-integral-differential (PID) controller is implemented in the controlling unit. To evaluate the effectiveness of the developed online monitor, the quantitative analysis and engineering application have been performed; then, based on the measured results, the RVM-ANFIS algorithm is adopted to diagnosis the latent transformers faults. Using the developed online monitor, the results indicate that five characteristic gases, H2, CH4, C2H4, C2H6, and C2H2 can be measured accurately, and incipient faults can be detected, validate the effectiveness of this system.

中文翻译:

基于SOFC色谱检测器在线监测的电力变压器状态评估

摘要 电力变压器是电力系统能量转换的关键,基于溶解气体分析(DGA)的状态评估在世界范围内广泛使用。针对其他在线监测系统稳定性差、灵敏度低的问题,本文设计了一种基于固体氧化物燃料电池(SOFC)探测器的在线监测器。该系统由气体测量子系统、中控单元和智能故障诊断子系统组成。使用 SOFC 检测器开发的便携式气相色谱模块。导出量化算法,在此基础上可以跳过校准。由于色谱柱和气体检测器温度的重要作用,比例-积分-微分 (PID) 控制器在控制单元中实施。为评价所开发的在线监测器的有效性,进行了定量分析和工程应用;然后,根据实测结果,采用RVM-ANFIS算法对变压器潜在故障进行诊断。使用研制的在线监测仪,结果表明可以准确测量H2、CH4、C2H4、C2H6和C2H2五种特征气体,检测早期故障,验证了该系统的有效性。
更新日期:2020-06-01
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