With the proposal of the dual carbon goal of “carbon peak and carbon neutralization”, a large number of photovoltaic with strong randomness will be connected to the distribution network. It has become a new challenge to improve the accommodation capacity of photovoltaic and reduce the abandonment rate of photovoltaic. In addition, the energy storage system plays an important role in stabilizing the random fluctuation of photovoltaic. Considering the uncertainty and temporal correlation of photovoltaic output, this paper proposes a distributionally robust optimal allocation method of photovoltaic and storage collaborative allocation aiming at photovoltaic effective accommodation capacity, and takes the location and capacity of photovoltaic station and energy storage device as decision variables at the same time. Firstly, the reference joint probability distribution of photovoltaic output considering time correlation is statistically driven by historical data, the ambiguous set is constructed based on Jensen-Shannon divergence distance, and the model is transformed into a mixed integer convex programming model by using second-order cone technology to accelerate the solution, and then the joint configuration scheme of optical storage is solved by column and constraint generation algorithm. Finally, an actual 180 nodes distribution network is taken as an example to verify the effectiveness of the proposed method.