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Multi-time scale operation optimization for a near-zero energy community energy system combined with electricity-heat-hydrogen storage

Author

Listed:
  • Liu, Zhijian
  • Fan, Guangyao
  • Meng, Xiangrui
  • Hu, Yubin
  • Wu, Di
  • Jin, Guangya
  • Li, Guiqiang

Abstract

Hybrid energy storage offers a new way to increase the renewable energy proportion (REP) of near-zero energy community energy system (NZECES). However, the optimization operation method of NZECES combining hybrid energy storage is not yet mature. Therefore, this paper proposes integrating electricity storage, heat storage and hydrogen storage into the NZECES, and conducting multi-time scale (MTS) operation optimization research. Firstly, a NZECES with electricity-heat-hydrogen storage is constructed. Secondly, a MTS optimization operation model of day-ahead scheduling, intra-day rolling, and real-time adjustment is established. Among them, the hourly scheduling scheme targeting the lowest daily operating cost is obtained through the optimization of the day-ahead stage. In the intra-day stage, the scheduling scheme with a time interval of 15 min is obtained by the rolling optimization. The operation scheme of electrical-related equipment with the minimum adjustment cost is obtained in the real-time stage. Finally, a NZEC with different building types is used as the energy supply object. The results show that compared to the traditional day-ahead scheduling scheme, the REP is increased by 3.6 % and the operation cost of the energy system is reduced by 5.3 % by using the MTS operation optimization method.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:291:y:2024:i:c:s0360544224001683
    DOI: 10.1016/j.energy.2024.130397
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    3. Ghasemnejad, Homayoun & Rashidinejad, Masoud & Abdollahi, Amir & Dorahaki, Sobhan & Shafie-khah, Miadreza, 2025. "An integrated three-stage framework for the formation and operation of citizen energy sub-communities based on prosumer attitudes," Energy, Elsevier, vol. 322(C).
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    5. Xu, Lei & Luo, Xiaoyuan & Wen, Yintang & Wu, Tao & Wang, Xinyu & Chang, Shaoping & Guan, Xinping, 2025. "A Stackelberg game-based multi-time scale optimization for hybrid power ship and port," Energy, Elsevier, vol. 324(C).
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    8. Liang, Jiahui & Wu, Shaocong & Lu, Tianguang, 2026. "Portfolio selection and optimal planning for hydrogen energy storage systems composed of heterogeneous electrolyzer and fuel cell technologies in industrial park multi-energy systems," Applied Energy, Elsevier, vol. 403(PB).
    9. Jia, Wenhao & Ding, Tao & He, Yuhan, 2026. "Synergistic integration of green hydrogen in renewable power systems: A comprehensive review of key technologies, research landscape, and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PD).
    10. Gjorgievski, Vladimir Z. & Velkovski, Bodan & Markovski, Blagoja & Cundeva, Snezana & Markovska, Natasa, 2024. "Energy community demand-side flexibility: Energy storage and electricity tariff synergies," Energy, Elsevier, vol. 313(C).
    11. Liu, Yi & Xu, Xiao & Xu, Lixiong & Liu, Youbo & Yang, Nan & Jawad, Shafqat & Luo, Yichen & Liu, Junyong & Hu, Weihao, 2024. "Collaborative water-electricity operation optimization of a photovoltaic/pumped storage-based aquaculture energy system considering water evaporation effects," Renewable Energy, Elsevier, vol. 237(PD).
    12. Li, Hao & Ma, Gang & Wang, Bo & Wang, Shu & Li, Wenhao & Meng, Yuxiang, 2025. "Multi-modal feature fusion model based on TimesNet and T2T-ViT for ultra-short-term solar irradiance forecasting," Renewable Energy, Elsevier, vol. 240(C).
    13. 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).
    14. Chen, Yuzhu & Guo, Weimin & Lund, Peter D. & Du, Na & Yang, Kun & wang, Jun, 2024. "Configuration optimization of a wind-solar based net-zero emission tri-generation energy system considering renewable power and carbon trading mechanisms," Renewable Energy, Elsevier, vol. 232(C).
    15. Prit, Gaurav & Sharma, Sumedha & Mishra, Sukumar & Verma, Ashu, 2025. "Energy scheduling and economic assessment of a rural microgrid using two-stage stochastic framework," Energy, Elsevier, vol. 335(C).
    16. Wu, Long & Yin, Xunyuan & Pan, Lei & Liu, Jinfeng, 2025. "Smart energy management: Process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems," Applied Energy, Elsevier, vol. 380(C).
    17. Zhang, Wei & Zhang, Maimai & Liu, Jiang, 2026. "Optimal multi-energy storage capacity allocation for electricity-heat-hydrogen-ammonia integrated energy systems with ammonia cycling," Renewable Energy, Elsevier, vol. 257(C).
    18. Cheng, Hangyu & Chen, Jiahui & Jung, Seunghun & Kim, Young-Bae, 2025. "Hierarchical rolling optimization strategy for hybrid electric-hydrogen system based on deep reinforcement learning," Energy, Elsevier, vol. 338(C).
    19. Wang, Mengxue & Zhao, Haoran & Liu, Chunyang & Ma, Dazhong & Jiang, Yibao & Yang, Futao, 2025. "Refined multi-time scale optimal scheduling of dynamic integrated energy system based on superposition of energy flow response," Applied Energy, Elsevier, vol. 380(C).
    20. Zuo, Zhaoyang & Basem, Ali & Hussein, Zahraa Abed & Sharma, Kamal & Dixit, Saurav & Alanazi, Yousef Mohammed & El-Shafay, A.S., 2025. "Enhanced near zero-energy building performance through intelligent hydrogen storage management across diverse climates," Energy, Elsevier, vol. 327(C).
    21. Wu, Jun & Cui, Shiting & Zhu, Ruijin & Chen, Hongkun, 2025. "An energy sharing framework for improving load supply and renewable energy utilization in high-altitude area energy systems," Renewable Energy, Elsevier, vol. 252(C).

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