基于用电行为挖掘的低压台区窃电识别方法

Method for Identifying Electricity Stealing in Low-Voltage Substation Based on Electricity Consumption Beharior

为精准识别用户在用电过程中的窃电行为,本文引进用户行为挖掘技术,以低压台区为例,开展窃电识别方法的设计研究。首先,采集用户用电终端数据,包括输电线路的电流、电压数据,引进数据挖掘技术反向分析采集的数据,实现基于用电行为挖掘的用户用电行为特征提取;其次,将特征数据在空间中以离散化方式呈现,在空间中建立多维度三角矩阵,根据数据的聚类方向设计目标处理区,并将区域内的每个数据进行编号,引进拉格朗日插值计算法,在智能终端填充编号的数据,实现对低压台区用电负荷特征数据的处理;最后,设计用户用电量下降趋势指标、低压台区线路损耗指标,用于辨识台区用户告警行为,并通过检测低压台区线路损耗识别窃电行为。结果表明,本文设计的方法应用效果良好,可以精准识别用户窃电行为。

In order to accurately identify users'electricity theft behavior during the electricity consumption process,this paper introduces user behavior mining technology and takes the low-pressure plaform area as an example to carry out design research on electricity theft identification methods.Firstly,collect user electricity terminal data,including current and voltage data of transmission lines,introduce data mining technology,reverse analyze the collected data,and achieve user electricity behavior feature extraction based on electricity behavior mining.Secondly,the feature data is presented in a discretized manner in space,and a multi-dimensional triangular matrix is established in space.The target processing area is designed based on the clustering direction of the data,and each data in the area is numbered.The lagrangian interpolation calculation method is introduced,and the numbered data is filled in at the intelligent terminal to achieve the processing of low-voltage substation load feature data.Finally,design indicators for the decreasing trend of user electricity consumption and the loss of low-voltage substation lines to identify user alarm behavior in the substation area,and identify electricity theft behavior by detecting the loss of low-voltage substation lines.The results show that the method designed in this paper has good application effect and can accurately identify users'electricity theft behavior.