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Title Innovative Digital Twin Platform Construction For Smart Grid System
ID_Doc 31684
Authors Zhong Y.; Zhang W.; Ha X.; Chen Q.; Huang J.; Yan K.
Year 2022
Published 2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021
DOI http://dx.doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00271
Abstract Digital twin platform that builds digital models of the buildings and infrastructures plays an important role in smart city design, construction and maintenance. The digital twin models are capable of utilizing artificial intelligence (AI) and information technologies, such as perception, calculation and modeling to describe, diagnose, predict and make decisions on the cyber-enabled world based on the big data collected by various sensor networks. In this study, an innovative digital twin platform is designed and implemented for a smart grid system and grid substation in Zhejiang, China. The proposed digital twin model improves the original traditional operation and maintenance of the smart grid system into an intelligent grid management system. The management, operation, and maintenance capabilities of the substation are improved. The proposed method achieves the purpose of improving business efficiency, reducing overall costs, and creating business value. © 2021 IEEE.
Author Keywords Big Data; Data Analytics; Digital Twin; Smart Grid; Visualization


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