Abstract: In order to make the virtual power plant（VPP）better meet the development needs of China ’s new power system,an optimal scheduling model of VPP considering uncertain risk is proposed. Firstly,carbon capture and electric to gas conversion equipment are installed on the basis of a combined thermal and electric VPP to achieve the recycling of CO₂,and the carbon cycle and electrolysis water process are decoupled through carbon and hydrogen storage devices;Secondly,the uncertain factors such as wind and solar power,load,etc. are modeled within the VPP,the day ahead scenario is optimized randomly based on scenario analysis method.Conditional Value at Risk（CVaR）theory is used to measure the transaction risk of the virtual power plant;Finally,with the goal of maximizing the operational efficiency of VPPs,a stepped carbon trading mechanism and demand response are introduced to establish an optimization scheduling model for VPPs in typical scenarios. The numerical analysis shows that the proposed method can effectively reduce the carbon emissions of VPPs,and has guiding significance for low-carbon economic scheduling of VPP.