With the widespread integration of high proportion photovoltaics into the distribution network, the problem of node voltage and line flow exceeding limits is becoming increasingly prominent. And there is a possibility of "PV curtailment" phenomenon. Therefore, a two-stage distributionally robust optimization model is established for energy storage configuration in the distribution networks to enhance the photovoltaic consumption capacity and safety of distribution networks. The first stage of the model determines the installation location and capacity of energy storage with the goal of minimizing the annual investment cost of energy storage. The second stage simulates the optimal operation of the distribution network on typical days throughout the year, with the goal of minimizing the annual operating cost of the distribution network. Multiple uncertainty sets based on norm-2 distance are used to describe the uncertainty of the output of PVs and loads in the typical days respectively, and the four-quadrant operating characteristics of energy storage are considered. The column and constraint generation algorithm and max-min sub-problem decomposition algorithm are used to solve the model. And simulation analysis is conducted on an actual 10 kV distribution network to verify the feasibility and effectiveness of the proposed method.