Research on power grid comprehensive intelligent warning system based on multi-source data fusion

Zhi Cao; Junwei Sun; Xuguang Du; Jingxin Zhang

doi:10.1117/12.3029432

6 May 2024 Research on power grid comprehensive intelligent warning system based on multi-source data fusion

Zhi Cao, Junwei Sun, Xuguang Du, Jingxin Zhang

Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 131070L (2024) https://doi.org/10.1117/12.3029432
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China

Abstract

In order to understand the comprehensive intelligent warning system of the power grid, a research on the comprehensive intelligent warning system of the power grid based on multi-source data fusion has been proposed. From the perspective of big data applications, this paper proposes to establish a comprehensive intelligent warning system for power grid dispatch and monitoring by integrating multi-source application data such as EMS system, fault recording system, OMS system, meteorological monitoring system, and adopting a certain data algorithm model. This system can achieve functions such as monitoring and analysis of power transmission and transformation equipment, defect warning, power grid risk warning, and fault alarm analysis, assist dispatchers in power grid monitoring and fault handling, and effectively improve the level of power grid regulation.

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

Citation Download Citation

Zhi Cao, Junwei Sun, Xuguang Du, and Jingxin Zhang "Research on power grid comprehensive intelligent warning system based on multi-source data fusion", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131070L (6 May 2024); https://doi.org/10.1117/12.3029432

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