Reasoning simulation of substation power grid fault events based on knowledge map technology

Ziquan Liu; Nan Yao; Qing Fan; Xueqiong Zhu; Hai Xue

doi:10.1117/12.2690053

10 August 2023 Reasoning simulation of substation power grid fault events based on knowledge map technology

Ziquan Liu, Nan Yao, Qing Fan, Xueqiong Zhu, Hai Xue

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127483N (2023) https://doi.org/10.1117/12.2690053
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

In order to cope with the increasingly complex situation of safe operation of power grid, this paper proposes fault event reasoning of substation power grid based on knowledge map technology. By using the method of knowledge map, the logical relationships such as co-reference relationship, causality relationship and time sequence relationship among substation monitoring events are established, and the rules and patterns among the events are described. Based on the power grid equipment entity and concept map, business logic map and historical case map, and according to the key information flow after fault signal analysis, the auxiliary decision of fault handling operation mode is made by using power grid operation and control logic, rules and experience knowledge. Realize the substation power grid fault analysis and processing function, and further improve the intelligent level of fault management.

Citation Download Citation

Ziquan Liu, Nan Yao, Qing Fan, Xueqiong Zhu, and Hai Xue "Reasoning simulation of substation power grid fault events based on knowledge map technology", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127483N (10 August 2023); https://doi.org/10.1117/12.2690053

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available