Microgrid Dynamic Modeling and Islanding Control With Synchrophasor Data

This paper illustrates the application of synchrophasor data to formulate reduced order dynamic models and use these models to design control algorithms that allow automated islanding and grid reconnection of a microgrid. The dynamics of the phasors at the point of common coupling (PCC) excited by the controllable assets in the microgrid are captured in reduced order models estimated from phasor data. The controllable assets are taken to be a hybrid set of distributed energy resources (DER) with different operational constraints and dynamics. In turn, the reduced order models are used to design a self-tuning feedback control algorithm to control the phasors at the PCC to allow seamless islanding and reconnection of the microgrid. The approach is illustrated on a hardware-in-the-loop setup with energy storage (ES) and diesel generator (DG) to validate the effectiveness of the modeling and control algorithms.