Zhenhao Zhou, Zhuochen Huang, Yike He, Chong Wang, Jiajun Wang, Yijian Wu, Xin Peng, Yiling Lou. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

This paper proposes a Stackelberg game trading model for shared energy storage and carbon market combined with carbon capture, utilization and storage (CCUS) technology, aimed at optimizing energy storage scheduling and promoting low-carbon electricity production and consumption. By applying Stackelberg game theory, the interactions between energy storage operators (leaders) and market participants (followers) are analyzed to enhance the economic and environmental benefits. The innovation of this model lies in the integration of energy storage trading and CCUS technology to provide economic incentives for renewable energy generation, and encourage emission reduction through carbon trading to promote green transformation of energy systems. Finally, the case study of Xinjiang energy industry CCUS Innovation Development Alliance Industrial Park verifies the effectiveness of the model in improving energy storage utilization and economic returns while significantly reducing carbon emissions, which aligns with the global carbon reduction goal.