Given the difficulty of power supply in remote areas, an optimal configuration method for a hybrid energy storage microgrid considering battery life is proposed. First, considering the characteristics of energy storage, battery life and turbine efficiency models are constructed. A demand response model for residential, commercial, and industrial areas is established based on electricity consumption habits. Then, a two-layer optimal configuration model of a microgrid is established with the lowest annual investment cost and daily operating cost. The original problem is transformed into a mixed integer linear programming problem by linearization. Finally, it uses the demand-based Shapley value method to allocate the economic cost and analyzes the influence of the load complementarity effect on the system economy. An example shows that the proposed method can effectively improve battery life and reduce economic cost; the demand-based Shapley value method is more reasonable in allocation than the conventional Shapley value method; the complementarity of loads is proportional to the economic cost saved by co-constructing a microgrid.

This work is supported by the National Natural Science Foundation of China (No. 61963026).