Research on Phase identification in Distribution Area Based on Smart meter

Abstract

Low-voltage distribution network is the last link connecting consumer in power system, and it takes a large impact on user experience, so it needs to be paid due attention. In view of the acceleration of the transformation and construction of the distribution network line, the topological file management in the low-voltage platform area is confused and the phase information is not accurate. However, Advanced Metering Infrastructure (AMI) can provide a new way to identify user phases. This paper provides a user phase recognition method based on the sampling data of smart electricity meter. Firstly, the data related to users’ electricity meters in the distribution area are collected by the low-voltage distribution acquisition system, and then some missing data are supplemented based on Lagrange interpolation method. Finally, the actual phase of users in the distribution area is topological verified based on nonlinear descending and clustering method. The European low-voltage feeder is used as an example to verify that the proposed method has obvious and accurate recognition effect on user phase in low-voltage distribution area