GridKG: Knowledge Graph Representation of Distribution Grid Data

被引：0
|
作者：
Kor, Yashar [1 ]
Tan, Liang [1 ]
Reformat, Marek Z. [1 ]
Musilek, Petr [1 ]
机构：
[1] Univ Alberta, Elect & Comp Engn, Edmonton, AB, Canada
来源：
2020 IEEE ELECTRIC POWER AND ENERGY CONFERENCE (EPEC) | 2020年
关键词：
distribution grid; knowledge graph; electrical path; grid analysis;
D O I：
10.1109/EPEC48502.2020.9320066
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：5
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