Trend Analysis of Dissolved Gas in Oil for Transformer

Qingzhu Yang, Yangchun Cheng, Ninghui He, Xu-tao Wu, Weiyan Sha, Xiu Zhou
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Abstract

Transformer’s dissolved gas analysis(DGA) is a very important means of transformer condition maintenance. With the development of technology, more and more transformers have been installed with online DGA devices,but there is no standard to determine the abnormal gas generation rate of dissolved gas in on-line oil. In order to mine the information of transformer online monitoring data, this paper firstly classifies the changing trend of dissolved gas volume fraction in four kinds of oil after data filtering, which are respectively rising, fluctuating, stable and falling. Then on the quantity statistics found that smooth and growth trend is the main trend. Then counted the growth trend of generation rate of gas volume, using the weibull distribution function and the normal distribution function fitting after their generation rate distribution, the sub-point of distribution function is used as the basis to judge the abnormal gas generation rate. The results show that the threshold method determined by us is strict and has regional characteristics.
变压器油中溶解气体的趋势分析
变压器溶解气体分析(DGA)是变压器状态维护的重要手段。随着技术的发展,越来越多的变压器安装了在线DGA装置,但在线油中溶解气异常产气率的测定尚无标准。为了挖掘变压器在线监测数据的信息,本文首先对数据过滤后的四种油中溶解气体体积分数的变化趋势进行了分类,分别为上升、波动、稳定和下降。然后对数量进行统计,发现平稳增长的趋势是主要趋势。然后统计瓦斯体积生成率的增长趋势,利用威布尔分布函数和正态分布函数拟合其生成率分布后,利用分布函数的子点作为判断异常生成率的依据。结果表明,我们确定的阈值法严格,具有地域性特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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