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 considering the source-load timing characteristics is proposed. 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 was constructed by taking into account the voltage constraints, line capacity constraints, reactive power compensation constraints of inverter and photovoltaic consumption constraints, etc. It maximizes the access capacity of DPV while ensuring that the expected value of abandoned light 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 stations 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 model in this paper is verified by taking the actual low-voltage distribution station area as an example.