A Digital Twin for Cyber-Physical Energy Systems

The pervasiveness of digitalization brings new opportunities, especially for monitoring and control in the energy domain. Access to sensor and context data allows a modern energy system to manifest as a Cyber-Physical Energy System (CPES). Specifically, in this paper we demonstrate the applicability of a Digital Twin for a CPES. We apply our vision of the Digital Twin paradigm to detect and analyze anomalies in a flexible energy deployment. Our results show that, with enough expert knowledge and insight, the Digital Twin can explore system behavior and is a candidate for system calibration and control parameter estimation.