Weak link identification of distribution network based on power domain knowledge graph

The complex network theory believes that there are some key links in every large-scale network, which are poor in damage resistance and easy to be attacked. In order to identify weak links in the distribution network and conduct reliability estimation for internal components of the system, a hierarchical knowledge map is established, and a weak link identification method based on Neo4j diagram database is proposed. Firstly, the reliability indexes of components, lines and systems in the distribution network are calculated. Secondly, various nodes and reliability index values are generated by graph database in the form of node-edge. At the same time, relevant information at all levels can be queried according to Cypher statement. Thirdly, based on the minimum spanning tree algorithm and the efficient query performance of Neo4j graph database, the weak link of distribution network was identified. Finally, the validity of the proposed method is verified by a real 10kV distribution network.