Abstract: Aiming at the smart community with dual forms of production and consumption， a joint optimization model of energy storage system planning and operation and its solution algorithm are proposed in this paper. Considering the classification regulation characteristics of controllable load resources in the smart community， the capacity loss characteristics of the energy storage system and the uncertainty of distributed photovoltaic output， combining the scenario method and chance constraint programming， a stochastic optimization model is established and converted into a mixed integer linear programming model （MILP） for solving the problem. The influence of the substation capacity， the confidence of chance constraint and the cascade utilization of battery on the decision of the community economic allocation on energy storage system is analyzed. The results show that the model can be used to optimize the energy storage capacity planning and the operation schedule of smart community considering the uncertainties of renewable energy.

Key words: prosumer smart community, energy storage planning optimization, chance constraint, mixed integer linear programming（MILP）