To improve the access capacity of Distributed Photovoltaic (DPV) in the low-voltage distribution station area and promote photovoltaic consumption, a distributionally robust optimization method of DPV access in the low-voltage distribution station area is proposed considering the timing characteristics of source-load.First, a source-load joint timing scenario generation method based on optimized clustering is presented to handle the uncertainty of distributed photovoltaic output and load demand in the low-voltage distribution station area.Next, a distributionally robust optimization model of distributed photovoltaic access in the low-voltage distribution station area is constructed by taking into account the voltage constraints, line capacity constraints, reactive power compensation constraints of inverter and photovoltaic consumption constraints, etc.The proposed approach maximizes the access capacity of DPV while ensuring that the expected value of PV curtailment rate under the worst probability distribution of each typical scenario meets the requirements.Then, a mathematical model of distributed energy storage access in low-voltage distribution station area is established to study the influence of energy storage access and its charging-discharging mechanism on distributed photovoltaic access.Finally, the effectiveness of the proposed model is verified by taking simulation on actual low-voltage distribution station area.