基于智能电表数据的低压配电网拓扑识别方法

Topology Identification Method of Low⁃Voltage Distribution Network Based on Smart Meter Data

为提升低压配电网供电质量,提出基于智能电表数据的低压配电网拓扑识别方法。首先,智能电表用电数据采集系统通过采集终端、通信信道和主站,采集、输送、管控低压配电网用户用电数据,经清洗、标准化预处理后,基于标准化的智能电表数据构建电能线性模型,通过主成分分析(PCA)协调具有随机误差的电能数据;其次,计算上下级电表电能的约束矩阵,得出电能线性关系,采用电能测量标准差缩放电能数据,获取“分支-表箱”的拓扑关系;最后,利用迭代PCA求取电压相关系数,分相识别相同分支用户,得到低压配电网“配变-分支-表箱-用户”的拓扑结构。实验结果表明:该方法可有效识别低压配电网拓扑出现的错误,调整后的拓扑结构更符合实际,能够精准采集日常用电信息,且应用后可显著减少低压配电网电能损耗,提升供电质量。

In order to improve the power supply quality of low-voltage distribution network,the topology identification method of low-voltage distribution network based on smart meter data is proposed.Smart meter electricity data acquisition system through the acquisition terminal,communication channel and main station,collect,transport and control the power consumption data of the users of the low-voltage distribution network.After cleaning and standardizing the collected smart meter data,building a linear model of electric energy based on standardized smart meter data.Coordinate the electrical energy data with random error by principal component analysis.And calculate the constraint matrix of the electric energy of the upper and lower stage meters.The linear relationship of electric energy,scaling of the electrical energy data using the standard deviation of electrical energy measurement,obtaining the topological relationship of the“branch-table box”.The voltage correlation coefficient is obtained using an iterative principal component analysis.Phase identification of the same branch users and the topological structure of“distribution transformer-branch-table box-user”is obtained.The experimental results show that this method can effectively identify the errors in the topology of low-voltage distribution network,and the adjusted topology structure is more in line with the reality.This method can accurately collect the daily electricity information,and the application can greatly reduce the power loss of low-voltage distribution network and improve the power supply quality.