@ARTICLE{Bai_Hao_Research_2024,
 author={Bai, Hao and Fu, Yu and Yang, Weichen and Li, Yue and Cai, Yongxiang and Xu, Min},
 volume={vol. 73},
 number={No 3},
 journal={Archives of Electrical Engineering},
 pages={703-720},
 howpublished={online},
 year={2024},
 publisher={Polish Academy of Sciences},
 abstract={With the wide application of smart meters, real-time data collection in power grid operation can be carried out in real time, which provides big data support for the digital modeling of distribution station areas. At the same time, the digital transformation of the distribution area can be promoted through the digital modeling of the distribution area. In this situation, how to use the big data of smart meters to achieve the digital modeling of the distribution area needs to be further studied. Firstly, this paper briefly introduces the connotation of digitalization in the distribution station area. At the same time, aiming at the digitalization of the distribution station area, it analyzes the digitalization of station features, user features, new energy features, network parameters and operation features, and obtains the digitalization model. Finally, on the basis of the above, select an application scenario to introduce the application of digitalization modeling. The research results can provide a reference for the combination of big data application of smart meters and digitalization of the distribution area, and help the digital transformation of the distribution area.},
 type={Article},
 title={Research on modeling method for digitizing distribution substation areas based on big data from smart meters},
 URL={http://journals.pan.pl/Content/132630/09_2k.pdf},
 doi={10.24425/aee.2024.150891},
 keywords={digital model, low voltage distribution network, numerous measurement data, smart meters},
}