A Distributed Energy Storage Aggregation Method for Flexibility Resources in Distribution Network Areas Based on the Differential Evolution Algorithm

The analysis and study of aggregation methods for distributed energy storage and flexibility resources in distribution network areas are crucial for improving the utilization rate of flexible resources and ensuring the safe, reliable, and stable operation of distribution networks. This paper proposes an aggregation method for flexibility resources based on the differential evolution algorithm. First, the optimal comprehensive coordination of distributed energy storage and flexibility resources is set as the optimization objective. Then, the differential evolution algorithm is combined with source-load uncertainty analysis to enhance the applicability of the aggregation method under extreme scenarios. Finally, the model is validated using simulation examples from distribution network areas. The results demonstrate that the proposed aggregation method exhibits significant adaptability and effectiveness.