Abstract:Virtual power plant (VPP) is an effective way to aggregate distributed resources on generation side and load demand on user side. In this paper, the intermittent and anti-peak-load characteristics of renewable energy generation were studied, and the carbon quota and renewable energy absorption guarantee mechanism were taken as the background. A multi-objective dispatching optimization model for VPP was established, which considered load shifting, “carbon trading-green certification”, renewable absorption weight, carbon emission quota and operation cost constraints. Firstly, a load shifting model was constructed with the goal of tracking wind and solar output and smoothing out the fluctuation of power load, and the solution strategy of “lifting out-aggregate-distribute” was given. Secondly, a multi-objective optimization model was constructed to achieve an effective balance between low-carbon and economy of the VPP by introducing a carbon trading and green certification trading mechanism, aiming at the optimization of operating cost and CO2 emission. Finally, the reference point approach (RPA) was used to solve the scheduling model, and the RPA metric value model was given based on fuzzy theory and dualistic factor contrast method. The simulation results show that the model can effectively improve the economic benefits and renewable energy absorption capacity of VPP, and stimulate the enthusiasm of low-carbon emission reduction of VPP.