Abstract: Under the dual carbon goals in 2030/2060, the low carbon policy and low carbon technology should be coordinated in order to achieve low carbon emissions. Therefore, a virtual power plant (VPP) containing the coupled P2G-CCS (power to gas and carbon capture system) and hydrogen-doped fuel gas is established in this paper. An optimal scheduling strategy of VPP based on the stepped carbon trading mechanism is proposed. Firstly, at the low carbon technology level, the mathematical models for hydrogen-doped gas turbine, hydrogen-doped gas boiler, two-stage power-to-gas (P2G) and carbon capture system are established for the P2G-CCS coupling and gas hydrogen-doped subsystem. At the level of low-carbon policy, a stepped carbon trading model is established to constrain the carbon emissions of the system. Based on the modeling, an optimal scheduling strategy is proposed, which takes the minimum sum of carbon transaction cost, gas purchase cost, coal consumption cost, carbon sequestration cost, unit start-up and shutdown cost and wind abandoning cost as the objective function. After the linearization of the established model, the CPLEX solver and the particle swarm optimization algorithm are used to solve the model. The effectiveness of the proposed model is verified by comparing different scenarios. The effects of this scheduling strategy under different fixed hydrogen ratios, variable hydrogen ratios and different ladder carbon trading parameters on the low carbon and economic performance of VPP are analyzed.