Against the backdrop of the global energy crisis and stringent carbon emission requirements, a large number of distributed generations (DG) facilities suffer from issues such as low installed capacity, significant voltage fluctuations, and low voltage levels. These problems lead to a substantial amount of wind and solar power being abandoned, affecting the power quality, operating costs, and safe operation of the power grid. Therefore, it is of great significance to integrate distributed resources into a large-scale aggregator to participate in power market transactions. In this article, we constructed a virtual power plant (VPP) aggregation model for an active distribution network (ADN) connected to DG of multiple energy forms. Considering the participation of the distributed energy storage system (DESS) in scheduling, we proposed a calculation method for external characteristic parameters. Finally, the improved IEEE 33 Bus system was selected as a case study. Through the analysis of the optimization results, the correctness and effectiveness of the model and algorithm were verified, providing theoretical support and practical reference for the optimized operation of distributed power generation systems participating in active distribution networks.