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.

引用

页数：5

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