Research on Error Correction Model of Transformer-Meter Relationship in Low Voltage Distribution Network Based on Combined Clustering Strategy

Abstract

At a time when distributed microgrids are gradually becoming the main form of renewable energy access, the distribution network plays an important role in serving the access and consumption of renewable energy, and is a powerful guarantee to promote the realization of the “double carbon” goal. However, due to the complex structure, frequent file changes, untimely governance and maintenance, the distribution station area cannot accurately perceive the ownership of transformer-meter relationship files. This paper presents an error correction method of transformer-meter relationship files in low-voltage substation area based on correlation analysis and clustering. Aiming at the application scenario of transformer-meter relationship file error under different busbars, the error correction is carried out by using the principle that the user voltage sequence curve of the error file has a lower similarity with the transformer voltage curve, and the voltage amplitude difference is larger. The results show that this method has high practicability and effectiveness.