Analysis method of power grid operation weakness based on knowledge graph

Zhanfei Cui; Zhenhua Zhang; Zhaoyang Yan

doi:10.1117/12.3024431

13 May 2024 Analysis method of power grid operation weakness based on knowledge graph

Zhanfei Cui, Zhenhua Zhang, Zhaoyang Yan

Author Affiliations +

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131597L (2024) https://doi.org/10.1117/12.3024431
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

The existing analysis methods of grid operation weakness have gradually been unable to meet the application needs of new power systems. The continuous development of artificial intelligence technology such as knowledge graph provides a new solution for this problem. Therefore, this paper proposes an Analysis Method of Power Grid Operation Weakness Based on Knowledge Graph. Through natural language processing technology, a variety of grid operation data are analyzed, and the knowledge graph of grid operation weakness analysis is designed and constructed. Then, based on the knowledge graph and Inference rules, the analysis results of traditional methods are reasoned and optimized. Finally, the grid operation weakness analysis is realized by the knowledge, model dual driving. The practical application shows that this method improves the situation awareness and analysis ability of power dispatchers to the grid operation weakness, and provides a basis for the automatic generation of fault preplan and other applications.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhanfei Cui, Zhenhua Zhang, and Zhaoyang Yan "Analysis method of power grid operation weakness based on knowledge graph", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131597L (13 May 2024); https://doi.org/10.1117/12.3024431

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