To accommodate the selection needs for multiple types of energy storage in the context of upgrading new energy stations, a fuzzy hierarchical selection method based on the maximum evaluation difference is proposed. Energy storage evaluation indicators are established from economic, environmental, safety, technical, and dynamic dimensions, and indicator data is quantitatively represented using trapezoidal interval type-2 fuzzy sets. Subjective and objective weights for these indicators are assigned through both multiple rounds of expert evaluation and criteria importance, with integration achieved using the maximum evaluation difference method. A fuzzy hierarchical selection model based on the ViseKriterijumska Optimizacija I Kompromisno Resenje method is developed to facilitate the optimal selection of energy storage solutions across various scenarios. Case results on the IEEE 39-bus system demonstrate that the proposed method effectively enhances the differentiation of solution. Targeted solutions are provided based on the characteristics of scenarios involving fluctuation suppression and peak shaving and valley filling, offering decision support for energy storage integration at new energy stations.