User-transformer Relationship Verification Method of Low Voltage Distribution Network Based on Voltage Correlaion Analysis

Abstract

The accurate user-transformer relationship is essential to power loss analysis and outage management in low-voltage transformer area (LVTA). However, the traditional method like artificial investigation or momentary interruption is high cost, and the accuracy can not be guaranteed. Thus, an user-transformer relationship verification method of LVTA based on voltage correlation analysis is proposed. Firstly, the voltage characteristics of users which are in the correct and incorrect user-transformer relationship are analyzed, respectively. Secondly, an adaptive voltage clustering algorithm is proposed to presort the users. On this basis, the variance and average value of Pearson correlation coefficient (PCC) sequence of voltage time series between each users are calculated, which is used to judge whether the user is in the correct user-transformer relationship or not. Finally, the actual voltage data of two LVTAs are selected to verified the proposed method, and the results show that the proposed method can correctly identify the user-transformer relationship.