Pan, Huaming
(Shanghai Municipal Electric Power Company,Pudong Electric Power Supply Company of State Grid,Shanghai,China)
,
Dou, Zhenlan
(State Grid Shanghai Municipal Electric Power Company,Shanghai,China)
,
Cai, Yanxing
(Shanghai University of Electric Power,College of Automation Engineering,Shanghai,China)
,
Li, Wenzhu
(Shanghai University of Electric Power,College of Automation Engineering,Shanghai,China)
,
Lei, Xing
(State Grid Shanghai Energy Interconnection Research Institute Co., LTD,Shanghai,China)
,
Han, Dong
(State Grid Shanghai Municipal Electric Power Company,Shanghai,China)
This paper introduces the digital twinning technology, which integrates multi-disciplinary, multi-physical, multi-scale and multi-probability simulation processes by using physical models and sensors, and completes mapping in virtual space, thus reflecting the whole life cycle process of correspondi...
This paper introduces the digital twinning technology, which integrates multi-disciplinary, multi-physical, multi-scale and multi-probability simulation processes by using physical models and sensors, and completes mapping in virtual space, thus reflecting the whole life cycle process of corresponding entities, and the existing models based on digital twin in related fields and their uses and implementation methods are analyzed. According to the existing models and methods, the digital twin technology is combined with the power system, which can be applied to the optimization design of the power grid, the simulation and simulation of power grid faults, virtual power plants, intelligent equipment monitoring, and other services. The application scenario of digital twin of power systems (PSDT) is expounded, and the key technologies of PSDT implementation are exemplified by Cai-Lun Station as an example. The model structure of PSDT and the method of model reduction are explained.
This paper introduces the digital twinning technology, which integrates multi-disciplinary, multi-physical, multi-scale and multi-probability simulation processes by using physical models and sensors, and completes mapping in virtual space, thus reflecting the whole life cycle process of corresponding entities, and the existing models based on digital twin in related fields and their uses and implementation methods are analyzed. According to the existing models and methods, the digital twin technology is combined with the power system, which can be applied to the optimization design of the power grid, the simulation and simulation of power grid faults, virtual power plants, intelligent equipment monitoring, and other services. The application scenario of digital twin of power systems (PSDT) is expounded, and the key technologies of PSDT implementation are exemplified by Cai-Lun Station as an example. The model structure of PSDT and the method of model reduction are explained.
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