To address the problem of unreasonable energy storage configurations caused by ignoring the differences in source-load power matching and control demands, which impacts efficiency and harms stakeholders' interests, an optimized energy storage configuration method is proposed considering the variations in photovoltaic-load scenarios. Firstly, from the perspectives of photocharge power differences, matching and distribution, the differences in demand for energy storage configuration operation in different typical scenarios are analyzed. Secondly, according to the differences in energy storage control demand of each scenario, the original probability coefficients of each scenario are corrected to add demand focus. Then, based on the new probability coefficients of each scenario, an energy storage optimization configuration model is established, with the goal of improving operating efficiency and optimal loss cost of energy storage, and a variety of methods are used to convexize the nonlinear terms in the model. Finally, based on the improved IEEE 33-node distribution network, a Gurobi solver is used to obtain the energy storage configuration scheme and verify the effectiveness of the proposed configuration method.