Research on digital twin technology architecture for distribution network business collaboration

被引:0
|
作者
Qiao, Junfeng [1 ]
Zhou, Aihua [1 ]
Peng, Lin [1 ]
Su, Hang [2 ]
Qian, Zhonghao [3 ]
Xu, Min [1 ]
Pan, Sen [1 ]
Yang, Pei [1 ]
机构
[1] State Grid Smart Grid Res Inst Co LTD, State Grid Lab Power Cyber Secur Protect & Monito, Nanjing 210003, Jiangsu, Peoples R China
[2] State Grid Jiangsu Elect Power Co LTD, Xuzhou Power Supply Co, Xuzhou 221005, Jiangsu, Peoples R China
[3] State Grid Jiangsu Elect Power Co LTD, Nantong Power Supply Co, Nantong 226006, Jiangsu, Peoples R China
关键词
D O I
10.1145/3648050.3648075
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The distribution network business includes power supply, power dispatch and control, electricity calculation and fee management, equipment maintenance and repair, power grid construction, new energy access, etc. There are certain differences between different business systems, leading to data barriers in business collaboration and difficulties in implementing collaborative solutions. In response to this issue, this article proposes the construction of a digital twin technology architecture for distribution network business collaboration, which integrates heterogeneous description data from various business systems in the distribution network into a unified digital twin model. Then define association and mapping rules between different data organization structures in the model, and use business knowledge to achieve coupling between data from various business systems. On the basis of data fusion, embed cross business application analysis algorithms in the digital twin model of the distribution network, extract the required cross system data from the data base of the model based on business logic, and carry out algorithm analysis and application. The technical architecture described in this article provides data base and analysis service support for new applications in distribution networks.
引用
收藏
页数:7
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