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Bi-level optimization model of hydrogen-blended gas units and multi-type energy storage system considering low-carbon operation

Author

Listed:
  • Li, Jinhang
  • Chen, Heng
  • Li, Jingjia
  • Zhang, Yixi
  • Pan, Peiyuan
  • Bian, Jiayu
  • Yu, Zhiyong

Abstract

With the integrated energy system as the future roadmap, harnessing multiple energy storage technologies and hydrogen energy collaboratively is pivotal for achieving cleanliness and decarbonization in the energy sector. This paper proposes a bi-level economic optimization model that considers the collaborative low-carbon approach of natural gas blending with hydrogen and multi-type energy storage. It leverages the flexible interaction and operation of electricity, thermal, and hydrogen energy storage in the integrated energy system to achieve optimal collaboration and complementarity among multiple energy sources. At the same time, a natural gas blending with hydrogen model is adopted to provide multiple pathways for the utilization of hydrogen energy in the integrated energy system. In the bi-level optimization model, the upper-level model achieves optimal capacity planning and economic benefits for the multi-type energy storage system. In contrast, the lower-level model achieves the overall optimal low-carbon operation of the integrated energy system.

Suggested Citation

  • Li, Jinhang & Chen, Heng & Li, Jingjia & Zhang, Yixi & Pan, Peiyuan & Bian, Jiayu & Yu, Zhiyong, 2025. "Bi-level optimization model of hydrogen-blended gas units and multi-type energy storage system considering low-carbon operation," Energy, Elsevier, vol. 314(C).
  • Handle: RePEc:eee:energy:v:314:y:2025:i:c:s0360544224039409
    DOI: 10.1016/j.energy.2024.134162
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    1. 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).
    2. Dimitriadis, Christos N. & Tsimopoulos, Evangelos G. & Georgiadis, Michael C., 2022. "Strategic bidding of an energy storage agent in a joint energy and reserve market under stochastic generation," Energy, Elsevier, vol. 242(C).
    3. Guo, Jiacheng & Wu, Di & Wang, Yuanyuan & Wang, Liming & Guo, Hanyuan, 2023. "Co-optimization method research and comprehensive benefits analysis of regional integrated energy system," Applied Energy, Elsevier, vol. 340(C).
    4. Wang, Yongli & Liu, Zhen & Cai, Chengcong & Xue, Lu & Ma, Yang & Shen, Hekun & Chen, Xin & Liu, Lin, 2022. "Research on the optimization method of integrated energy system operation with multi-subject game," Energy, Elsevier, vol. 245(C).
    5. Khosravani, Ali & DeHaan, Matthew & Billings, Blake W. & Powell, Kody M., 2024. "Electrification of residential and commercial buildings integrated with hybrid renewable energy systems: A techno-economic analysis," Energy, Elsevier, vol. 302(C).
    6. Di Somma, M. & Yan, B. & Bianco, N. & Graditi, G. & Luh, P.B. & Mongibello, L. & Naso, V., 2017. "Multi-objective design optimization of distributed energy systems through cost and exergy assessments," Applied Energy, Elsevier, vol. 204(C), pages 1299-1316.
    7. Schrotenboer, Albert H. & Veenstra, Arjen A.T. & uit het Broek, Michiel A.J. & Ursavas, Evrim, 2022. "A Green Hydrogen Energy System: Optimal control strategies for integrated hydrogen storage and power generation with wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    8. Peng, Chunhua & Fan, Guozhu & Xiong, Zhisheng & Zeng, Xinzhi & Sun, Huijuan & Xu, Xuesong, 2023. "Integrated energy system planning considering renewable energy uncertainties based on multi-scenario confidence gap decision," Renewable Energy, Elsevier, vol. 216(C).
    9. Liu, Dewen & Luo, Zhao & Qin, Jinghui & Wang, Hua & Wang, Gang & Li, Zhao & Zhao, Weijie & Shen, Xin, 2023. "Low-carbon dispatch of multi-district integrated energy systems considering carbon emission trading and green certificate trading," Renewable Energy, Elsevier, vol. 218(C).
    10. Fan, Wei & Tan, Qingbo & Zhang, Amin & Ju, Liwei & Wang, Yuwei & Yin, Zhe & Li, Xudong, 2023. "A Bi-level optimization model of integrated energy system considering wind power uncertainty," Renewable Energy, Elsevier, vol. 202(C), pages 973-991.
    11. Guo, Jiacheng & Liu, Zhijian & Wu, Xuan & Wu, Di & Zhang, Shicong & Yang, Xinyan & Ge, Hua & Zhang, Peiwen, 2022. "Two-layer co-optimization method for a distributed energy system combining multiple energy storages," Applied Energy, Elsevier, vol. 322(C).
    12. Tang, Bao-Jun & Cao, Xi-Lin & Li, Ru & Xiang, Zhi-Bo & Zhang, Sen, 2024. "Economic and low-carbon planning for interconnected integrated energy systems considering emerging technologies and future development trends," Energy, Elsevier, vol. 302(C).
    13. Peng, Hongyi & Yan, Mingyu & Zhou, Yijia, 2024. "Privacy-preserving non-iterative decentralized optimal energy flow for integrated hydrogen-electricity-heat system based on projection method," Applied Energy, Elsevier, vol. 368(C).
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