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Abstract Digital Twin (DT), integrating some current popular technologies, such as smart sensors, 5G communications, cloud platforms and big data analysis, is an integrated multidiscipline, multi-physical, multi-scale and multi-probability simulation process. To promote the accelerated development of China's manufacturing industry, it is needed to develop a smarter new generation of Smart Power System (SPS), and it is time for DT’s emergence. This system can comprehensively improve the intelligence of grid operation by using DT, which is driven by the data stream generated by the smart grid. Besides, it uses real-time situational awareness and uses real-time virtual deduction as cognitive means, and real-time feedback from virtual space to real space as an iterative method. Based on the applications of DT in the power industry, this article analyzes some applications in power system control, equipment fault prediction and diagnosis, and power online analysis from the demand for the core technologies of DT and DT of power system intelligence. Thus, the design framework, core technologies and implementation approaches of the Power System Digital Twin (PSDT) are presented. Finally, the challenges faced by the applications of DT in the power industry are analyzed, and the future trend of the power of DT is summarized.
Huang et al. (Fri,) studied this question.