Resumen de Graphical Modular Power Technology of Distribution Network Based onMachine Learning Statistical Mathematical Equation

Jie Duan, Yuan Jin, Yuan Wang, Junfeng Tian, Riyad Alshalabi

• The distribution network structure is complex, the equipment is numerous, and the frequency of pattern andmode changes is high. These characteristics lead to certain difficulties in power distribution automationoperation and maintenance graph management. This paper adopts the mathematical statistics method of machine learning to analyze the multi-version hierarchical subscription mechanism of the distribution network graph. We conduct a breadth search on the distribution network graph to realize the automatic topology of the network. This paper implements a dynamic display system of distribution network monitoring information. The research results show that the graph-digital-analog integrated system has practical significance for data integration, applicationintegration, and interoperability between systems.