Development and analysis of power grid failure scenarios using ontology, power flow model, and knowledge graph

Power grids are complex systems that play an important role in many processes and are essential for the functioning of key services to society. Component failure can lead to cascading effects, equipment damage, and potential blackouts. In this paper, an ontology is used to formalize knowledge about the subject area, draw new conclusions, and build failure scenarios. The software simulates the operation of the power grid based on power flow, combining computer simulation of power grid failure scenarios, a semantic model of the subject area, and builds a knowledge graph, which is analysed using centrality metrics and used to draw conclusions about the scenarios of grid failure development. The ontology and knowledge graph can be supplemented with new knowledge and used for further analysis using other models or approaches, as the data is easily interpreted and described using the concepts of the subject area.