The proposal of the goal of "carbon neutrality and carbon peaking" has accelerated the construction and development of China's carbon emission trading market (referred to as "carbon market"). For concentrated solar power plant (CSPP), formulating reasonable bidding strategies in the electricity market and carbon market is crucial to ensure its own return on investment. To this end, this paper proposes a market bidding strategy for CSPP that takes into account carbon emission trading. First, the transaction process and framework of CSPP in the electricity market and carbon market, as well as the game equilibrium of participating in multiple markets, are analyzed. Second, considering the uncertainty of new energy output, a two-layer robust bidding model for CSPP to participate in the electricity market and carbon market is proposed. The upper layer is the robust bidding decision model of CSPP, and the lower layer is the clearing model of the electricity and carbon markets. Second, aiming at this nonlinear, multi-objective and multi-level programming problem, based on KKT conditions and game equilibrium analysis, the double-layer model is transformed into a single-layer model, and the nonlinear terms in the model are linearized based on strong duality theory and binary expansion method. This realizes an efficient analysis of the model. Finally, a typical CSPP is taken as an example to verify the rationality and superiority of the proposed bidding strategy.

This work is supported by the National Key Research and Development Program of China (No. 2022YFE0120400).