Abstract:When the solar storage microgrid operates, there are problems of poor power quality and poor system stability.The control strategy of the system is mostly based on PI control with double closed-loop control algorithms, which can lead to slow dynamic response speed.A multi-step finite control set model predictive control (FCS-MPC) strategy is proposed that considers fluctuations in renewable energy sources.First, the use of voltage stabilizing control for the DC-DC converter provides stable DC voltage to the inverter to improve system stability.Then, a constant power control strategy is adopted for photovoltaic inverters to maintain stable power output.The energy storage inverter adopts droop control based on multi-step predictive model predictive control (MPC) to achieve fast tracking of reference voltage and reasonable allocation of load power.Multi step predictive MPC can reduce the prediction error of traditional MPC and improve the stability of the system.Finally, a simulation model is built using MATLAB, and the simulation results verify the effectiveness of the proposed control strategy.