Abstract: As an emerging energy management model, virtual power plant（VPP） can effectively integrate distributed energy sources, distributed gas turbines, and power consumption units with adjustable loads, and participate in the electricity market, auxiliary service market, and carbon trading market. This paper proposes a low-carbon economic dispatch optimization model for virtual power plants considering the joint CET-GCT trading mechanism, aiming to achieve the dual goals of economic and environmental benefits by participating in the carbon trading market. Firstly, the optimization scheduling model obtains the output of wind power and photovoltaic through Monte Carlo simulation. Secondly, based on the aggregation capacity assessment method of different resources within the virtual power plant, the aggregation capacity range of VPP is obtained, which provides output constraints for the solution of the optimization model. Finally, the optimization model considering the joint trading mechanism of Carbon Emission Trading（CET） and Green Certificate Trading（GCT） is solved using the Gurobi solver. The results show that the model can maximize the economic benefits of the virtual power plant and effectively reduce carbon emissions while ensuring the safe operation of the system.