Battery energy storage system(BESS) is an important component of microgrid(MG)

and its protection during dispatching can effectively improve the economy and reliability of the system. Therefore

this paper fully considers the influence of charging and discharging rate and depth on BESS

and combines alternating direction method of multipliers(ADMM) and model predictive control(MPC) to propose a two-tier distributed scheduling strategy for interconnected microgrids system(IMS). Among them

the upper layer schedules each MG with the goal of minimizing the overall operating cost of the IMS

while the lower layer controls the output of distributed generation in each MG to minimize the cost of each MG itself. Compared with other distributed scheduling strategies

this strategy can protect BESS to the greatest extent

and the simplified distributed algorithm converges faster

the data transmission between networks is reduced by 30%

the computing time is less

and the communication burden is lower. Finally

the general MG cluster model is used to verify the rationality and effectiveness of the proposed scheduling strategy

and the result shows that the proposed scheduling strategy can make the less charged BESS get power supplement

reduce the charging and discharging times of high charge BESS

and reduce the total cost of each BESS by 29.65%.