Research and implementation of a digital twin model reconstruction method for distribution network based on intelligent adaptation

Junfeng Qiao; Lin Peng; Aihua Zhou; Zhujian Ou; Xiaoyi Xu; Yanfang Mao

doi:10.1117/12.3008871

27 October 2023 Research and implementation of a digital twin model reconstruction method for distribution network based on intelligent adaptation

Junfeng Qiao, Lin Peng, Aihua Zhou, Zhujian Ou, Xiaoyi Xu, Yanfang Mao

Author Affiliations +

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 1292203 (2023) https://doi.org/10.1117/12.3008871
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

Currently, there have been many studies on digital twin models and analysis algorithms for power application scenarios. These studies mainly focus on building digital twin models for static power equipment and existing historical data. With the positive development of China's economic situation, the number of electricity customers continues to grow, and the scale of corresponding power supply facilities and equipment is also expanding. Accordingly, digital twin models built for static power grid equipment and facilities and power grid structures have to be updated to meet new model application requirements. To address this issue, this paper proposes an intelligent adaptive digital twin model reconstruction method for distribution networks, which reconstructs and optimizes existing digital twin models and reduces the cost of model construction. Reconstruction of the digital twin model for distribution network equipment requires first extracting the basic data of the distribution network equipment, including equipment nameplates, geographic information, and point cloud scanning data. Then, by using the equipment as the identifier, multi-source heterogeneous data across topics are fused. Finally, based on probabilistic and statistical methods, the data structure within the model is reconstructed and optimized for grid business data requests.

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

Citation Download Citation

Junfeng Qiao, Lin Peng, Aihua Zhou, Zhujian Ou, Xiaoyi Xu, and Yanfang Mao "Research and implementation of a digital twin model reconstruction method for distribution network based on intelligent adaptation", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 1292203 (27 October 2023); https://doi.org/10.1117/12.3008871

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KEYWORDS

Data modeling

Instrument modeling

Power grids

3D modeling

Visual process modeling

Analytical research

Design and modelling

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