Abstract: In order to explore the low-carbon and economic bidding strategy of virtual power plant（VPP） under dual carbon targets, this paper proposed a bidding strategy of VPP participating in day-ahead multi-class market based on time-of-use carbon price and distributionally robust optimization. Firstly, in order to reduce the operating cost of electricity market, a time-of-use carbon price negatively related to electricity price is proposed. Then, the baseline method is adopted to allocate carbon quota for VPP free of charge, and the national certified emission reduction of new energy power generation is calculated. Secondly, considering the situation of carbon trading market, energy market and peak regulating market, the bidding model of VPP participating in multiple markets is set up. Finally, aiming at the uncertainty of wind power, a data-driven two-stage bidding model of blue-bar is constructed and solved by column and constraint generation algorithm. The example analysis shows that time-of-use carbon price can effectively reduce the operating cost of electricity market operators and improve the revenue of VPP operators. The proposed VPP bidding model can give the optimal bidding scheme of different markets, and the distributed robust can give consideration to both economy and robustness.