Virtual power plant resource aggregation method based on dynamic reconstruction

With the continuous advancement of energy internet technologies, Virtual Power Plants (VPPs) have become a key technological means for the large-scale aggregation and regulation of distributed energy resources. This paper focuses on the optimization problem of VPP resource aggregation and proposes a resource aggregation planning method based on dynamic reconstruction. First, a VPP membership reward mechanism is established to encourage the participation of more Distributed Energy Resources (DERs). Second, considering the diversification and heterogeneity of numerous distributed resources, a resource feature extraction and classification method is proposed. Then, a resource membership willingness determination model is developed to accurately assess the joining capacity of each resource. Based on this, a dynamic reconstruction optimization strategy for VPPs is proposed, integrating the dynamic response characteristics of distributed resources and the demand variation patterns in the electricity market. Finally, through case study analysis, the feasibility and superiority of the proposed method in VPP resource aggregation planning are verified, demonstrating that the method can effectively improve the efficiency and operational benefits of VPP resource aggregation.