Resilient Microgrid Energy Management Algorithm Based on Distributed Optimization

This article proposes a fully distributed energy management algorithm for dc microgrids, resilient to different faults. Specifically, we employ model-predictive control deal with the uncertainty that characterizes microgrid operation. The optimization problem is solved at each time step through algorithm, which has three main advantages: 1) agents of network require small computational power; 2) local information not shared among nodes, hence preserving certain level privacy; and 3) it suitable implementation in large-scale systems. resilience property stems from additional constraints are enforced order store system enough sustain case utility grid or line fault. Simulation results show schedule operation always connected (e.g., loads) as well may be disconnected electric vehicles).