Abstract: With the proposal of the "Dual Carbon" target, the construction of the large-scale wind/photovoltaic/energy storage power station (WPS) has become an effective way to reduce carbon emissions. However, the coupling among wind, photovoltaic and energy storage is difficult to describe, and the impact of carbon trading on the output of WPS is unclear. Therefore, how to design a reasonable bidding strategy for maximum interests in the electricity spot market has become a key issue in the development of large-scale WPS. First, in order to solve the aforementioned problems, the electricity spot market mechanism is designed considering the impact of carbon trading. Secondly, under the coupling effects in WPS, an optimal bidding strategy and a co-regulation method of WPS are proposed. To realize the maximization of WPS's interests, a bi-level bidding model is constructed, where the uncertainty of renewable power is considered. Finally, case studies based on the IEEE 14-bus system indicate the efficiency of the proposed methods. The results show that the model in this paper can optimize the WPS's bidding strategies and broaden the arbitrage behaviors of energy storage. In addition, the model is also conducive to boosting WPS power station's interests and reducing the system carbon emissions.