基于差值矩阵的220V供电线路故障点时序红外定位方法

Time Series Infrared Location Method for Fault Points in 220 V Power Supply Lines Based on Difference Matrix

受到220 V低压供电线路故障点位置不确定性对应定位反馈信号精度的影响,传统定位方法无法满足实际线路故障排除作业要求。为此,引入差值矩阵算法,对其故障点所在区段进行定位红外特征及其信号时序融合优化,以此获得故障点的精准位置信息。首先建立220 V供电线路故障点差值矩阵;然后构建故障点位置区段差值时序模型;接着确定故障点时序区段的红外位置;最后完成基于差分矩阵的故障点红外位置定位波检测识别。通过设计的实例仿真数据对比表明:提出方法能够有效增强故障点信号影响程度,提升对相同时序特征下故障点谐波信号的辨识能力,精准捕获并锁定故障点。

Due to the uncertainty of the fault location of 220 V low-voltage power supply lines and the accuracy of the positioning feedback signal,the traditional positioning methods cannot meet the requirements of actual line fault removal operations.To achieve this goal,a difference matrix algorithm was introduced to optimize the fusion of infrared features and signal timing for locating the fault points in the section,in order to obtain accurate location information of the fault points.Firstly,a fault point difference matrix was established for 220 V power supply lines;then a time series model is constructed for the difference of fault point location and segment;next,the infrared position of the fault point timing section was determined;finally,the infrared location wave detection and recognition of fault points was completed based on differential matrix.The comparison of simulation data through designed examples shows that the proposed method can effectively enhance the impact of fault point signals,improve the identification ability of harmonic signals at fault points under the same temporal characteristics,and accurately capture and lock fault points.