Source-grid-load-storage coordinated operation control is an operation mode and technology that can maximize the utilization of energy resources

and can economically

efficiently and securely improve the power dynamic balance capability of power systems through the form of multi-energy flow interaction. This paper investigates the distributed control strategy of the system composed of renewable energy generation-microgrid-critical controllable load-energy storage. The source-grid-load-storage system model is established. It is shown that the optimal control problem can be rewritten as distributed mixed integer linear programming (MILP). A two-stage stochastic programming approach is applied to distributed MILP and it is shown that the problem can also be transformed into distributed MILP

considering problems that are both large-scale (i. e.

with a large number of optimization variables) and mixed-integer (i. e.

where some of the variables are constrained to be integers). A new algorithmic approach is proposed to solve such distributed MILPs

which is appropriately modified to handle stochastic scenarios and gives theoretical upper bounds on constraint violations. The proposed method is tested by applying it to a simulated scenario with a large number of devices

and the simulation results validate the effectiveness of the proposed method.