Smart Energy Dispatch for Networked Microgrids Systems Based on Distributed Control Within a Hierarchy Optimization

Abstract Cooperative microgrids considered the next generation of smart energy trading technology. A promising solution is proposed in this paper, for smart energy management of cooperative multi microgrids (MMGs) systems based on dual level distributed strategy, achieved by two layers model predictive control (MPC) for optimal operation and energy scheduling of the DERs, and energy trading among multi-microgrids system, with efficient economic cost reduction. We employed a distributed system operator (DSO) as a supervisory layer for energy trading and dynamic power balance ensuring. Along with the local controller as a lower layer for tracking a reference trajectory from the upper layer, we developed an online algorithm with a hierarchical structure to solve the energy dispatching problem within dual-level optimization, offering an environmental-friendly control solution, due to reduction of fuel consumption. Finally, simulation results are presented to witness the advantages of our distributed algorithm approach in comparison to a noncooperative strategy.