GridKG: Knowledge Graph Representation of Distribution Grid Data
Yashar Kor, Liang Zheng Tan, Marek Reformat, Petr Musı́lek · 2020 IEEE Electric Power and Energy Conference (EPEC) · 2020
Distribution grid systems are complex networks containing multiple pieces of equipment. All of them interconnected, and all of them described a variety of pieces of information. A knowledge graph provides an interesting data format that allows us to represent information in a form of graphs, i.e., nodes and edges - relations between them. In this paper, we describe an application of a knowledge graph to represent information about a power grid. We show the main components of such a graph - called GridKG, a simple process of identifying electrical paths, and a few examples of grid analysis related to primary switches.