Optimal Operation of Photovoltaic and Energy Storage Coordination Considering Different Characteristics of Photovoltaic Load Scenarios

In order to solve the problem that the storage demand for different power scenarios is not considered in the synergistic optimization operation of photovoltaic and storage, this paper proposes a synergistic optimization operation method of photovoltaic and storage that takes into account the different characteristics of photovoltaic and load scenarios. First, from the perspective of light-load power difference, matching and distribution, the differences in energy storage configuration and operation requirements in different typical scenarios are analyzed. Secondly, based on the differences in energy storage regulation requirements in various scenarios of the system, the original probability coefficients of each scenario are corrected to increase demand focus. Then, based on the new probability coefficients of each scenario, a photovoltaic-storage collaborative optimization operation model is established, with the goal of improving operating efficiency and optimizing depreciation costs through energy storage, and the nonlinear terms in the model are convexified. Finally, based on the improved IEEE33-node distribution network as an example, the Gurobi solver is used to obtain the energy storage configuration scheme to verify the effectiveness of the proposed configuration method.