Digital twin-based real-time assessment of resilience in microgrids

This paper presents a Digital Twin (DT)-based methodology for real-time assessment of microgrid resilience. Unlike conventional assessment methods, the proposed approach makes use of live system data via the DT of a microgrid; considers not only the steady-state power/energy balancing, but also the dynamic system security constraints under adverse operational conditions associated with line or generator outages. A real-time model based on the future anticipated microgrid at the University of Strathclyde campus has been developed in the RTDS simulator, and a prototype DT of the microgrid and the proposed DT-based resilience assessment have been implemented on a hardware platform, which is interfaced with the RTDS via communication links for realistic demonstration. Preliminary results are generated to illustrate the fundamental concepts of the approach, where N-1 tests and a large sample size are used to generate visualisations of system risk and impact of different events to identify high risk components and compute performance metrics e.g. loss of load probability. This work is intended to be continued on larger networks with more complex systems to demonstrate the value of fast-acting resilience quantification.