Optimal configuration of battery energy storage system with multiple types of batteries based on supply-demand characteristics

The configuration of a battery energy storage system (BESS) is intensively dependent upon the characteristics of the renewable energy supply and the loads demand in a hybrid power system (HPS). In this work, a mixed integer nonlinear programming (MINLP) model was proposed to optimize the configuration of the BESS with multiple types of batteries based on the power supply and demand characteristics. A three-step solving strategy was developed to improve the computational efficiency by transforming the MINLP model into a mixed integer linear programming (MILP) model. The effectiveness of the proposed model and the solution strategy were demonstrated through a case study. Results showed that the optimal capacity configuration of the BESS with multiple types of batteries can be obtained by the proposed model and the three-step solving strategy. And the computation time of the proposed solution strategy is over 100 times shorter than that of the conventional solution method for solving the configuration problems of the BESS with multiple types of batteries at a large-scale. The superiority of each type of battery over others depends upon the electricity price in different scenarios. In addition, the selections of battery types and their capacities are dramatically influenced by the amplitude and the period of the power difference curves. •A model-based method is proposed for a BESS with multiple types of batteries.•An efficient solution strategy is developed to simplify the proposed model.•The optimal configuration including battery types and capacities can be determined.•The impacts of supply-demand characteristics on the BESS configuration are studied.