Distributed Economic Model Predictive Control for a Wind–Photovoltaic–Battery Microgrid Power System

This paper proposed a dual-mode distributed economic model predictive control (EMPC) for a nonlinear wind- photovoltaic-battery microgrid power system (WPB-MPS). The communications between each subsystem are taken into consideration and the economic objectives that are established based on the aspects that: satisfy the total demand; make full use of the power generated by the WPB-MPS; optimize the battery's state of charge; and reduce the fluctuation of power exchange with the grid. The subsystem-based EMPCs work iteratively and cooperatively to solve the economic objective functions, which reflect economies of the system and not necessary to drive the system to a certain steady state as hierarchical control. A dual-mode Lyapunov-based EMPC has been formulated to guarantee the stability of the system with disturbance, and under certain conditions, the closed-loop system state can be driven and hold in a safe region. Simulations demonstrate the advantages and efficiency of the proposed method.