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Hydrogen–energy–carbon coupled pricing for integrated energy systems: Stackelberg game and robust demand response under renewable uncertainty

Author

Listed:
  • Lin, Wen-Ting
  • Guo, Qitao
  • Jia, Tao
  • Li, Chaojie
  • Zhou, Xiaojun
  • Li, Jueyou
  • Ming, Tingzhen

Abstract

Driven by the global pursuit of carbon neutrality, the integration of hydrogen into multi-energy systems has become a key enabler for deep decarbonization. This paper proposes a robust optimization-based scheduling method for integrated energy systems, coupling multi-energy complementarity with a coordinated hydrogen-energy-carbon pricing strategy. First, a comprehensive energy architecture is established, integrating hydrogen, electricity, heat, and gas supplies, where the energy service provider leverages wind and other renewables to build a complementary energy supply system. A robust optimization model is formulated at the upper level, embedding a hydrogen-energy-carbon pricing mechanism. Second, a lower-level demand response model grounded in price elasticity theory is developed to characterize the dynamic interaction between user consumption behaviors and energy prices. A Stackelberg game framework, with the ESP as the leader and user groups as followers, is constructed to capture the bidirectional influence between pricing strategies and user-side responses. Regarding solution methodology, a refined column-and-constraint generation algorithm is designed to address renewable generation uncertainty, ensuring robust decision-making under worst-case scenarios. Case studies demonstrate that the proposed method maintains system stability under 20% renewable penetration and achieves a 21.95% reduction in carbon emissions through energy-carbon coordination, validating both the environmental benefits and practical feasibility of the approach.

Suggested Citation

  • Lin, Wen-Ting & Guo, Qitao & Jia, Tao & Li, Chaojie & Zhou, Xiaojun & Li, Jueyou & Ming, Tingzhen, 2026. "Hydrogen–energy–carbon coupled pricing for integrated energy systems: Stackelberg game and robust demand response under renewable uncertainty," Renewable Energy, Elsevier, vol. 260(C).
  • Handle: RePEc:eee:renene:v:260:y:2026:i:c:s096014812502823x
    DOI: 10.1016/j.renene.2025.125159
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    References listed on IDEAS

    as
    1. Liu, Zhijian & Fan, Guangyao & Meng, Xiangrui & Hu, Yubin & Wu, Di & Jin, Guangya & Li, Guiqiang, 2024. "Multi-time scale operation optimization for a near-zero energy community energy system combined with electricity-heat-hydrogen storage," Energy, Elsevier, vol. 291(C).
    2. Ouyang, Tiancheng & Li, Yinxuan & Xie, Shutao & Wang, Chengchao & Mo, Chunlan, 2024. "Low-carbon economic dispatch strategy for integrated power system based on the substitution effect of carbon tax and carbon trading," Energy, Elsevier, vol. 294(C).
    3. Yan, Haoran & Hou, Hongjuan & Deng, Min & Si, Lengge & Wang, Xi & Hu, Eric & Zhou, Rhonin, 2024. "Stackelberg game theory based model to guide users’ energy use behavior, with the consideration of flexible resources and consumer psychology, for an integrated energy system," Energy, Elsevier, vol. 288(C).
    4. Zhu, Xu & Sun, Yuanzhang & Yang, Jun & Dou, Zhenlan & Li, Gaojunjie & Xu, Chengying & Wen, Yuxin, 2022. "Day-ahead energy pricing and management method for regional integrated energy systems considering multi-energy demand responses," Energy, Elsevier, vol. 251(C).
    5. Zhu, Shijie & Shi, Xilin & Yang, Chunhe & Li, Yinping & Li, Hang & Yang, Kun & Wei, Xinxing & Bai, Weizheng & Liu, Xin, 2023. "Hydrogen loss of salt cavern hydrogen storage," Renewable Energy, Elsevier, vol. 218(C).
    6. Zhang, Li & Gao, Yan & Zhu, Hongbo & Tao, Li, 2022. "Bi-level stochastic real-time pricing model in multi-energy generation system: A reinforcement learning approach," Energy, Elsevier, vol. 239(PA).
    7. Liang, Hejun & Pirouzi, Sasan, 2024. "Energy management system based on economic Flexi-reliable operation for the smart distribution network including integrated energy system of hydrogen storage and renewable sources," Energy, Elsevier, vol. 293(C).
    8. Chai, Shanglei & Huo, Wenjing & Li, Qiang & Ji, Qiang & Shi, Xunpeng, 2025. "Effects of carbon tax on energy transition, emissions and economy amid technological progress," Applied Energy, Elsevier, vol. 377(PC).
    9. Li, Yang & Han, Meng & Shahidehpour, Mohammad & Li, Jiazheng & Long, Chao, 2023. "Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response," Applied Energy, Elsevier, vol. 335(C).
    10. Liu, Xiaoou, 2024. "Low-carbon scheduling research of integrated energy system based on Stackelberg game under sharing mode," Energy, Elsevier, vol. 303(C).
    11. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "A two-stage energy management for heat-electricity integrated energy system considering dynamic pricing of Stackelberg game and operation strategy optimization," Energy, Elsevier, vol. 244(PA).
    12. Chen, Yuzhu & Hu, Xiaojian & Xu, Wentao & Xu, Qiliang & Wang, Jun & Lund, Peter D., 2022. "Multi-objective optimization of a solar-driven trigeneration system considering power-to-heat storage and carbon tax," Energy, Elsevier, vol. 250(C).
    13. Sun, Xiaocong & Bao, Minglei & Ding, Yi & Hui, Hengyu & Song, Yonghua & Zheng, Chenghang & Gao, Xiang, 2024. "Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties," Energy, Elsevier, vol. 296(C).
    14. Zhao, Junjie & Chang, Huawei & Gang, Wenjie & Cai, Shanshan & Tu, Zhengkai, 2025. "A novel solution for heat lag in the combined hydrogen, heating and power system based on PV power supply," Renewable Energy, Elsevier, vol. 249(C).
    15. Zhang, Qianzhi & Wang, Lining & Chen, Wenying & Zhang, Chenglong, 2024. "Assessing the impact of hydrogen trade towards low-carbon energy transition," Applied Energy, Elsevier, vol. 376(PB).
    16. Pang, Yi & Pan, Lei & Zhang, Jingmei & Chen, Jianwei & Dong, Yan & Sun, Hexu, 2022. "Integrated sizing and scheduling of an off-grid integrated energy system for an isolated renewable energy hydrogen refueling station," Applied Energy, Elsevier, vol. 323(C).
    17. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    18. Li, Qi & Xiao, Xukang & Pu, Yuchen & Luo, Shuyu & Liu, Hong & Chen, Weirong, 2023. "Hierarchical optimal scheduling method for regional integrated energy systems considering electricity-hydrogen shared energy," Applied Energy, Elsevier, vol. 349(C).
    19. Zhou, Jun & Du, Penghua & Liang, Guangchuan & Chang, Heng & Zhu, Jiaxing, 2025. "Highway hydrogen refueling station siting considering hydrogen sources, transportation and station type," Renewable Energy, Elsevier, vol. 247(C).
    20. Wang, Qinghan & Wang, Yanbo & Chen, Zhe, 2025. "Stackelberg-equilibrium-based collaborative charging management strategy for renewable fuel vehicles in regional integrated electricity‑hydrogen system," Applied Energy, Elsevier, vol. 377(PD).
    21. Bu, Yuntao & Yu, Hao & Ji, Haoran & Song, Guanyu & Xu, Jing & Li, Juan & Zhao, Jinli & Li, Peng, 2024. "Hybrid data-driven operation method for demand response of community integrated energy systems utilizing virtual and physical energy storage," Applied Energy, Elsevier, vol. 366(C).
    22. Hu, Junjie & Wang, Yudong & Dong, Lei, 2024. "Low carbon-oriented planning of shared energy storage station for multiple integrated energy systems considering energy-carbon flow and carbon emission reduction," Energy, Elsevier, vol. 290(C).
    23. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "Low-carbon economic dispatch and energy sharing method of multiple Integrated Energy Systems from the perspective of System of Systems," Energy, Elsevier, vol. 244(PA).
    24. Zainal, Bidattul Syirat & Ker, Pin Jern & Mohamed, Hassan & Ong, Hwai Chyuan & Fattah, I.M.R. & Rahman, S.M. Ashrafur & Nghiem, Long D. & Mahlia, T M Indra, 2024. "Recent advancement and assessment of green hydrogen production technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    25. Jia, Jiandong & Li, Haiqiao & Wu, Di & Guo, Jiacheng & Jiang, Leilei & Fan, Zeming, 2024. "Multi-objective optimization study of regional integrated energy systems coupled with renewable energy, energy storage, and inter-station energy sharing," Renewable Energy, Elsevier, vol. 225(C).
    26. Sun, Yan & Li, Hong-Wei & Wang, Di & Du, Chang-He, 2025. "Performance evaluation of a novel zero-carbon-emission system for hydrogen-solar complementary power generation," Renewable Energy, Elsevier, vol. 248(C).
    27. Wang, Meng & Yu, Hang & Yang, Yikun & Lin, Xiaoyu & Guo, Haijin & Li, Chaoen & Zhou, Yue & Jing, Rui, 2021. "Unlocking emerging impacts of carbon tax on integrated energy systems through supply and demand co-optimization," Applied Energy, Elsevier, vol. 302(C).
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