Abstract: Under the dual-carbon goal,new energy has received increasing strong support and development from the state.At the beginning of the 14th Five-Year Plan,all provinces have issued policies on new energy allocation and storage. However,it remains questionable whether this high-proportion forced allocation of new energy storage is still reasonable. For this problem,this paper proposes a capacity configuration method of energy storage system with integrated multi-typical weather scenarios. First,the K-Means algorithm is used to gather photovoltaic power data samples. Second,the double-layer optimization model in which the interior layer takes with the minimum light loss rate as its objective of optimization while the external layer takes the initial construction cost,operation and maintenance cost and minimum light loss as its objective of optimization,to achieve better economic efficiency.Finally,the shuffled frog-leaping algorithm is applied to the double-layer optimization model. The example analysis shows that the model and solution algorithm proposed in this paper can optimize the capacity configuration of the energy storage system under different typical weather conditions. The results have verified the effectiveness and feasibility of the proposed model and solution algorithm,which have practical application value.