Energy storage power station plays an important role in transferring power demand,stabilizing renewable energy and load fluctuation. The optimal allocation of energy storage power station is the key problem to be solved in the planning and construction process. In this paper,a two-layer robust optimal configuration model based on information gap decision theory (IGDT) is proposed. In order to reduce the negative impact brought by uncertain parameters in the operation process of the system,a day-ahead robust optimal operation model of energy storage power station is built at the bottom of the model to impove elonomic efficiency. IGDT is introduced in the upper layer of the model to combine economy and robustness,and thus maximizing the volatility for the system under certain expected objectives. Benders decomposition method is used in the model solving. Finally,the effectiveness and feasibility of the proposed model are verified through the analysis of numerical examples.