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Multi-Objective Robust Optimization of Integrated Energy System with Hydrogen Energy Storage

Author

Listed:
  • Yuyang Zhao

    (School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
    Hebei Engineering Laboratory of Wind Power and Photovoltaic Coupling Hydrogen Production and Comprehensive Utilization, Shijiazhuang 050018, China)

  • Yifan Wei

    (School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China)

  • Shuaiqi Zhang

    (School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China)

  • Yingjun Guo

    (School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
    Hebei Engineering Laboratory of Wind Power and Photovoltaic Coupling Hydrogen Production and Comprehensive Utilization, Shijiazhuang 050018, China)

  • Hexu Sun

    (School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
    Hebei Engineering Laboratory of Wind Power and Photovoltaic Coupling Hydrogen Production and Comprehensive Utilization, Shijiazhuang 050018, China)

Abstract

A novel multi-objective robust optimization model of an integrated energy system with hydrogen storage (HIES) considering source–load uncertainty is proposed to promote the low-carbon economy operation of the integrated energy system of a park. Firstly, the lowest total system cost and carbon emissions are selected as the multi-objective optimization functions. The Pareto front solution set of the objective function is applied by compromise planning, and the optimal solution among them is obtained by the maximum–minimum fuzzy method. Furthermore, the robust optimization (RO) approach is introduced to cope with the source–load uncertainty effectively. Finally, it is demonstrated that the illustrated HIES can significantly reduce the total system cost, carbon emissions, and abandoned wind and solar power. Meanwhile, the effectiveness of the proposed model and solution method is verified by analyzing the influence of multi-objective solutions and a robust coefficient on the Chongli Demonstration Project in Hebei Province.

Suggested Citation

  • Yuyang Zhao & Yifan Wei & Shuaiqi Zhang & Yingjun Guo & Hexu Sun, 2024. "Multi-Objective Robust Optimization of Integrated Energy System with Hydrogen Energy Storage," Energies, MDPI, vol. 17(5), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1132-:d:1346963
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    References listed on IDEAS

    as
    1. Dong, Xiangxiang & Wu, Jiang & Xu, Zhanbo & Liu, Kun & Guan, Xiaohong, 2022. "Optimal coordination of hydrogen-based integrated energy systems with combination of hydrogen and water storage," Applied Energy, Elsevier, vol. 308(C).
    2. Gan, Wei & Yan, Mingyu & Yao, Wei & Guo, Jianbo & Ai, Xiaomeng & Fang, Jiakun & Wen, Jinyu, 2021. "Decentralized computation method for robust operation of multi-area joint regional-district integrated energy systems with uncertain wind power," Applied Energy, Elsevier, vol. 298(C).
    3. Lian, Yicheng & Li, Yuanzheng & Zhao, Yong & Yu, Chaofan & Zhao, Tianyang & Wu, Lei, 2023. "Robust multi-objective optimization for islanded data center microgrid operations," Applied Energy, Elsevier, vol. 330(PB).
    4. Su, Yongxin & Zhou, Yao & Tan, Mao, 2020. "An interval optimization strategy of household multi-energy system considering tolerance degree and integrated demand response," Applied Energy, Elsevier, vol. 260(C).
    5. Yang, Jun & Su, Changqi, 2021. "Robust optimization of microgrid based on renewable distributed power generation and load demand uncertainty," Energy, Elsevier, vol. 223(C).
    6. Shi, Mengshu & Wang, Weiye & Han, Yaxuan & Huang, Yuansheng, 2022. "Research on comprehensive benefit of hydrogen storage in microgrid system," Renewable Energy, Elsevier, vol. 194(C), pages 621-635.
    7. Wang, Yuwei & Song, Minghao & Jia, Mengyao & Li, Bingkang & Fei, Haoran & Zhang, Yiyue & Wang, Xuejie, 2023. "Multi-objective distributionally robust optimization for hydrogen-involved total renewable energy CCHP planning under source-load uncertainties," Applied Energy, Elsevier, vol. 342(C).
    8. Pu, Yuchen & Li, Qi & Zou, Xueli & Li, Ruirui & Li, Luoyi & Chen, Weirong & Liu, Hong, 2021. "Optimal sizing for an integrated energy system considering degradation and seasonal hydrogen storage," Applied Energy, Elsevier, vol. 302(C).
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