An intelligent analysis method of security and stability control strategy based on the knowledge graph

Frontiers in Energy Research

Energy Research

Qingqing Han¹  Zehua Ding¹  Junhao Zhang²  Hengxuan Li³  Bo Wen³ 

[1] Nanjing Dongbo Smart Energy Research Institute, Nanjing, China;School of Electrical Engineering, Southeast University, Nanjing, China;State Grid Hubei Electric Power Company, Electric Power Research Institute, Wuhan, China;

关键词: security and stability control strategy;    knowledge graph;    ontology design;    security and stability control device detection technology;    knowledge graph construction technology;   

DOI  :  10.3389/fenrg.2022.1022231

 received in 2022-08-18, accepted in 2022-09-09,  发布年份 2023

来源: Frontiers

【 摘 要 】

The security and stability control system is the guarantee of the security and stability operation of the power grid. With the increasing scale of distributed new energy access to the power grid, the security and stability control strategy of the power grid is becoming more complex, and it is becoming increasingly important to correctly analyze and implement the security and stability control strategy. In order to ensure the correctness of the security and stability control strategy implemented by the security and stability control device, it is necessary to analyze the security and stability control strategy in detail. Therefore, this article proposes an intelligent analysis method of the security and stability control strategy based on the knowledge graph. First, this article introduces the ontology design method of the security and stability control strategy based on the knowledge graph, combines the characteristics and applications of the knowledge graph, analyzes the relationship between the elements of the strategy, and designs a clear-structured knowledge network. Second, this article analyzes the automatic construction technology of the graph, constructs the six-element ontology model of the security and stability control strategy, and realizes the human–computer interaction functions such as auxiliary decision making, strategy reasoning, and intelligent search based on the knowledge graph. Using artificial intelligence technology, this article takes the security and stability control strategy of a certain area’s security and stability control system as an example to model and manage. The results show that it can assist the tester to quickly retrieve the strategy, effectively improve the detection efficiency of the security and stability control strategy, avoid the omission and ambiguity caused by the manual understanding of the strategy, and ensure the accuracy and comprehensiveness of the security and stability control strategy detection.

【 授权许可】

Unknown   
Copyright © 2023 Wen, Li, Zhang, Han and Ding.