Topology Identification of Low-voltage Distribution Network Based on GIS and Voltage Waveform Correlation Analysis

a topology identification method for a low-voltage distribution network based on GIS and voltage waveform correlation analysis is presented to address the concerns of high cost and low efficiency of manual calibration of low-voltage distribution network topology. Firstly, according to the geographic information of the distribution and user in the GIS platform, as well as the spatial constraints of the household variable relationship, the overlapping areas and non-overlapping areas are screened out, and the household variable relationship of the non-overlapping areas is preliminarily determined. Secondly, the voltage sequence correlation between the users in the overlapping area and the distribution in the adjacent station area is analyzed, and the three indicators of Euclidean distance, DDTW and Pearson correlation coefficient are used to evaluate the household change relationship in the overlapping area. Finally, the voltage correlation trend of the overlapping area is continuously monitored dynamically. When the voltage correlation between the user and the station area changes drastically, the voltage correlation between the user and the adjacent station area is recalculated, the station area which the user belongs is determined, and the alarm information is sent to the operation and maintenance personnel for manual verification and confirmation. A numerical example shows the effectiveness and feasibility of the proposed method.