Research on digital modeling technology based on multi-source data of power grid

Zhimin He; Hai Yu; Junfeng Qiao; Lin Peng; He Wang; Lianteng Shen; Zhe Li; Xiaodong Du

doi:10.1117/12.3009100

27 October 2023 Research on digital modeling technology based on multi-source data of power grid

Zhimin He, Hai Yu, Junfeng Qiao, Lin Peng, He Wang, Lianteng Shen, Zhe Li, Xiaodong Du

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 129220R (2023) https://doi.org/10.1117/12.3009100
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

In this paper, the digital modeling technology based on multi-source data of power grid is studied. First, the theoretical system of power grid digital twin model is established to provide theoretical reference for the modeling and analysis of power grid digital twin and further application. Secondly, the construction of power grid digital twin model based on physics-guided deep learning framework, interface learning framework and probability graph model is studied to create the foundation and prerequisite for subsequent applications, and the foundation and core elements of power grid digital twin. Thirdly, the assembly and fusion of power grid equipment level model, power equipment cluster level model and power system level model based on multi-source heterogeneous data fusion technology are studied to realize multi-level digital twin model fusion for power grid. Finally, the paper studies the dynamic balance of update cost and accuracy to update the digital twin model of power grid and realizes the flexible and dynamic update of power grid twin model.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhimin He, Hai Yu, Junfeng Qiao, Lin Peng, He Wang, Lianteng Shen, Zhe Li, and Xiaodong Du "Research on digital modeling technology based on multi-source data of power grid", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 129220R (27 October 2023); https://doi.org/10.1117/12.3009100

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