Abstract: An optimal allocation strategy for shared energy storage systems in a cluster of renewable energy stations is proposed, which considers the complementary characteristics of wind and solar energy and the spatial correlation of the power output of each renewable energy station. The strategy first uses Copula method to generate typical scenarios to analyze the correlation and complementarity of the renewable resources, then establishes an optimal allocation model for centralized shared energy storage systems in the cluster of renewable energy stations to realize the sharing and complementary use of energy storage among multiple entities, while exploiting the correlation and complementarity of wind and solar resources as far as possible. Finally, the correctness and effectiveness of the proposed method are verified by simulation analysis.