Data-Driven Distributed Combined Primary and Secondary Control in Microgrids

This brief paper presents a comprehensive data-driven distributed combined primary/secondary controller design method for microgrids. This method provides transient and steady-state performances, including power sharing and voltage and frequency restoration while guaranteeing stability for fixed communication delays. Measured data are directly used for controller design, and no knowledge of the model structure or the physical parameters of the grid is required. Moreover, no assumption is made on the X/R ratio of the feeders. All control specifications are formulated as frequency-domain constraints on the two-norm of weighted sensitivity functions. Then, using a recently developed frequency-domain robust control design method, a distributed fixed-structure controller is synthesized in one step. The performance of the obtained controller is validated using hardware-in-the-loop (HIL) experiments. The results show considerable improvement in transient performance while providing power sharing and voltage and frequency restoration with a distributed implementation.

Automated summary

This research proposes a comprehensive data-driven distributed combined primary/secondary controller design method for microgrids, providing transient and steady-state performances while guaranteeing stability with fixed communication delays. The controller design directly utilizes measured data without requiring knowledge of model structure or physical parameters of the grid. Through frequency-domain constraints on weighted sensitivity functions, a distributed fixed-structure controller is synthesized in one step, showing considerable improvement in transient performance in hardware-in-the-loop experiments.