Triangle Fault Diagnosis Method for SF6 Gas-Insulated Equipment
Triangle Fault Diagnosis Method for SF6 Gas-Insulated Equipment
复制标题
SF6气体绝缘设备三角故障诊断方法
DOI：
10.1109/tpwrd.2019.2907006
复制
发表时间：
2019-08-01
影响因子：
4.4
通讯作者：
Miao, Yulong
中科院分区：
文献类型：
--
作者：
Wu, Siying;Zeng, Fuping;Miao, Yulong
利用SF6气体分解成分对气体绝缘设备进行故障诊断已受到广泛关注并被电力行业广泛采用。然而，目前的重点主要是使用组件类型或绝对含量来产生对故障存在的定性判断，并且非常缺乏用于现场诊断的实用诊断方法。本文收集并分析了十年来的故障数据。根据SF6气体的分解特性，提取分解成分并进行组合，采用模糊C均值聚类算法对3个成分特征量赋予增强因子。提取了表征装置高能放电故障、局部放电和局部过热故障的成分特征量：%（SOF2+SO2）、%（9SO（2）F（2））和%（5CO（2））。以这些特征量为三角坐标系的坐标轴，构建了SF6气体绝缘子现场诊断的三角故障诊断方法。通过大量的实验数据和现场故障数据对该诊断方法进行了验证，在150个实验样本中，有128个被正确识别。此外，测试条件对该方法的诊断结果没有显著影响。该技术可为电力行业提供一种简单有效的现场诊断技术。
The use of SF6 gas decomposition components for the fault diagnosis of gas-insulated equipment (GIE) has received widespread attention and been extensively adopted by the power industry. However, the present focus is mainly on the use of a component type or absolute content for generating qualitative judgments on the existence of a fault, and the practical diagnosis method for field diagnosis is extremely lacking. In this paper, ten-year fault data were collected and analyzed. Decomposition components were extracted and combined, based on the decomposition characteristics of SF6, and enhancement factors were given to three component characteristic quantities using fuzzy C-means clustering algorithm. The component characteristic quantities that characterized the high-energy discharge fault, partial discharge, and partial over-thermal fault of the device were extracted: % (SOF2+SO2), % (9SO(2)F(2)), and % (5CO(2)). With adoption of these characteristic quantities as the coordinate axes of the triangle coordinate system, a triangle fault diagnosis method for field diagnosis of SF6 GIE was constructed. The diagnosis method was validated by a large number of experimental data and field failure data, and 128 of the 150 experimental samples were correctly recognized. Moreover, the test conditions did not considerably affect the diagnostic results of the method. This technique can provide a simple and effective field diagnostics technology for the power industry.