Application of Graph Database for the Storage of Knowledge Map of Power Grid Model
Han Wu, Yujun Wang, Peng Chen, Haoqiu Shi, Tao Wu · 2020
The future regulation system puts forward higher requirements for the storage and management of large power data. According to the natural topological structure, dynamic change and intrinsic complex data characteristics of power grid model the knowledge map of power grid model is stored by introducing graph database Neo4j, which promotes the evolution of dispatching automatic analysis and decision- making algorithm to knowledge guidance. The key to build knowledge map is to extract the knowledge unit of power grid model accurately. By studying the data storage mode of Neo4j, this paper proposes 0 general method of building knowledge map of power grid model based on Python and storing it in graph database. The feasibility of the method is verified by practical cases, and the internal relationship of model data in knowledge map is explored by using Cypher query language.