基于短路电流的变电站运维检修故障自动识别方法

Automatic Fault Identification Method for Substation Operation and Maintenance Based on Short-Circuit Current

为提高变电站运维检修故障识别的准确性,提出了一种基于短路电流的变电站运维检修故障自动识别方法。该方法可消除电流数据中的噪声和异常值,通过分析故障前后短路电流信号的变化特征,利用短路电流特征数据,挖掘电流信号中的故障信息,进而实现变电站故障的自动识别。结果表明,利用该方法可确定220kV变电站线路7出现三相短路故障,出线2出现单相短路故障,证明该方法识别效果较好。

To improve the accuracy of fault identification in substation operation and maintenance,a method for automatic identification of substation operation and maintenance faults based on short-circuit current is proposed.Eliminate noise and outliers in current data,analyze the changes in short-circuit current signals before and after faults,use short-circuit current characteristic data to mine fault information in current signals,and achieve automatic identification of substation faults.The results show that the method proposed in this article can determine the occurrence of three-phase short circuit faults in line 7 of the 220 kV substation and single-phase short circuit faults in output line 2.The identification effect of this method is good.