Abstract:Under the market environment, in order to promote the absorption of random renewable energy, as well as coordinate the contradictions among economic subjects and explore their values and economic benefits, This paper proposes an active distribution network dispatching optimization model based on the analytical target cascading theory, which takes the electric energy interaction between the distribution network and the virtual power plant as the modeling background. Considering the diversity in the composition of virtual power plants, a virtual power plant contains wind farm and energy storage and the other one contains combined cooling ,heating,and power system. Each virtual power plant can interact with the power distribution network respectively, optimizes internal variables and interactive power according to its own composition. The distributed solution is realized by coordinating interactive power with analytical target cascading theory. Finally, by the example simulation of IEEE33-node distribution system, the dispatching result can better reflect the economy of the market main body, and it is concluded that the virtual power plant consist of wind farm and energy storage is beneficial to improve the consumption of wind power, the virtual power plant consist of cooling, heating,and power system can realize the comprehensive energy economic management, and the analytical target cascading method is effective for the model background mentioned in this paper.