Research on reliability Evaluation system of distribution network based on Knowledge Graph

With the continuous development of safe, reliable and intelligent strong power grid, the reliability of distribution network has gradually become the key factor to determine the power supply and distribution capacity of the whole power grid. At the same time, with the advent of the power big data era, technologies represented by the Internet of Things, cloud computing and artificial intelligence have been gradually used in the power field. The reliability evaluation is of great theoretical and practical significance to the planning, design and upgrading of power distribution system. Through the research and application of power knowledge graph, it is convenient for power personnel to query and analyze power information, and improve the utilization rate of power grid information. Based on Neo4j graph database, this paper stored power knowledge, built power domain knowledge map, and selected the average failure outage rate, average annual outage time and average outage duration as the basic indicators to calculate and analyze the system cabling rate and the reasonableness of load group segmentation. A distribution network reliability evaluation system is formed, which takes the power loss load as the final evaluation index.