Digital twin modeling method of power system based on multi-granularity

Yujiang Long; Jiefeng Wang; Zhong Wu

doi:10.1117/12.3015414

6 February 2024 Digital twin modeling method of power system based on multi-granularity

Yujiang Long, Jiefeng Wang, Zhong Wu

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129795W (2024) https://doi.org/10.1117/12.3015414
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

To achieve a digital twin of power systems and solve the problem that the single granularity model in the conventional digital twin modeling cannot meet the requirements of a complex system modeling, a multi-granularity digital twin modeling method is proposed. The idea of multi-granularity modeling is incorporated into the digital twin modeling theory and implemented with power system simulation. Firstly, the modular hierarchical analysis of a complex system is carried out, and the entity is modeled with different granularity based on the idea of aggregation and disaggregation. Then, a formal description method is used to manage and describe the relationship between each model. Finally, taking the transformer system in the power system as an example, granularity models are constructed to verify the feasibility of the method.

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

Citation Download Citation

Yujiang Long, Jiefeng Wang, and Zhong Wu "Digital twin modeling method of power system based on multi-granularity", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129795W (6 February 2024); https://doi.org/10.1117/12.3015414

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