Grid Line Fault Handling Assistant Based on Knowledge Graph

Abstract

In order to deal with grid line faults in time and improve the disposal efficiency of dispatchers, a grid line fault handling assistant is proposed based on knowledge graph. The artificial intelligence and natural language processing technology are used to build model using data such as accident plans, handling experience, and power grid models, and the knowledge graph of equipment entities, knowledge graph of accident plans, and knowledge graph of handling process guidance are constructed. Three types of knowledge graphs are interrelated to form a knowledge graph of line fault handling, driving line fault handling assistant to complete fault perception, risk assessment, fault research and judgment, fault handling and other operations. The application of the dispatch control system shows that the fault handling assistant can perceive the line fault information in all directions, reduce disposal time by about 2/3, improve the dispatcher's work efficiency and application intelligence.