Framework and Key Technologies of Knowledge-graph-based Fault Handling System in Power Grid

被引：0

作者：

Qiao J. ^{[1
]}

Wang X. ^{[1
]}

Min R. ^{[2
]}

Bai S. ^{[1
]}

Yao D. ^{[2
]}

Pu T. ^{[1
]}

机构：

[1] China Electric Power Research Institute, Haidian District, Beijing

[2] State Grid Jibei Electric Power Company Limited, Xicheng District, Beijing

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2020年 / 40卷 / 18期

关键词：

Artificial intelligence; Assistant decision; Fault handling; Intelligent dispatching; Knowledge graph;

D O I：

10.13334/j.0258-8013.pcsee.200033

中图分类号：

学科分类号：

摘要：

In order to deal with the increasingly complicated situation of safe operation in power grid, it is one of the key technologies to model, manage and apply the knowledge hierarchy to improve the intelligent level of power dispatching. This paper proposed a framework of knowledge- graph-based fault handling system, in which the unstructured data of the operation rules, emergency plans and detailed rules with a large number of texts were converted to structured knowledge graph that can be represented, operated and reasoned. The construction and application of the presented knowledge graph contain five levels, i. e., basic data, graph construction, information analysis, reasoning decision and human-computer interaction layer. According to the scenarios and requirements of power grid fault handling, the domain knowledge graph is divided into four parts, i. e., graphs for power equipment, concepts, operation rules and fault cases. The detailed solutions and key technologies were analyzed to realize knowledge-graph-based fault information analysis, intelligent decision- making and human-computer interaction. Finally, the future application and challenge of the knowledge graph in intelligent assistant decision for power scheduling were summarized and forecasted. © 2020 Chin. Soc. for Elec. Eng.

引用

页码：5837 / 5848

页数：11

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