Digital twin aided dynamic analysis of distribution networks with power hardware-in-the-loop validation

The scope of this paper is to develop and evaluate reduced-order equivalent models for distribution networks (DNs), serving as digital representations for the physical assets connected to the network under various operational scenarios. Despite different equivalent models proposed in the literature, the majority has not been integrated and tested in network simulation models that replicate real-world conditions, resulting in inadequate evaluation of their effectiveness in analyzing the DN dynamic behavior. This study bridges this gap by conducting real-time simulations using a Power Hardware-in-the-Loop experimental setup.