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Optimal Economic Dispatch of Hydrogen Storage-Based Integrated Energy System with Electricity and Heat

Author

Listed:
  • Yu Zhu

    (State Grid Shaanxi Corporation Information & Telecommunication Branch, Xi’an 710061, China)

  • Siyu Niu

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710054, China)

  • Guang Dai

    (State Grid Shaanxi Electric Power Company Limited, Xi’an 710048, China)

  • Yifan Li

    (State Grid Shaanxi Corporation Information & Telecommunication Branch, Xi’an 710061, China)

  • Linnan Wang

    (State Grid Shaanxi Corporation Information & Telecommunication Branch, Xi’an 710061, China)

  • Rong Jia

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710054, China)

Abstract

To enhance the accommodation capacity of renewable energy and promote the coordinated development of multiple energy, this paper proposes a novel economic dispatch method for an integrated electricity–heat–hydrogen energy system on the basis of coupling three energy flows. Firstly, we develop a mathematical model for the hydrogen energy system, including hydrogen production, storage, and hydrogen fuel cells. Additionally, a multi-device combined heat and power system is constructed, incorporating gas boilers, waste heat boilers, gas turbines, methanation reactors, thermal storage tanks, batteries, and gas storage tanks. Secondly, to further strengthen the carbon reduction advantages, the economic dispatch model incorporates the power-to-gas process and carbon trading mechanisms, giving rise to minimizing energy purchase costs, energy curtailment penalties, carbon trading costs, equipment operation, and maintenance costs. The model is linearized to ensure a global optimal solution. Finally, the experimental results validate the effectiveness and superiority of the proposed model. The integration of electricity–hydrogen coupling devices improves the utilization rate of renewable energy generation and reduces the total system operating costs and carbon trading costs. The use of a tiered carbon trading mechanism decreases natural gas consumption and carbon emissions, contributing to energy conservation and emission reduction.

Suggested Citation

  • Yu Zhu & Siyu Niu & Guang Dai & Yifan Li & Linnan Wang & Rong Jia, 2025. "Optimal Economic Dispatch of Hydrogen Storage-Based Integrated Energy System with Electricity and Heat," Sustainability, MDPI, vol. 17(5), pages 1-26, February.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:1974-:d:1599439
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    References listed on IDEAS

    as
    1. Anand, Himanshu & Narang, Nitin & Dhillon, J.S., 2019. "Multi-objective combined heat and power unit commitment using particle swarm optimization," Energy, Elsevier, vol. 172(C), pages 794-807.
    2. 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).
    3. Ma, Yiming & Wang, Haixin & Hong, Feng & Yang, Junyou & Chen, Zhe & Cui, Haoqian & Feng, Jiawei, 2021. "Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system," Energy, Elsevier, vol. 236(C).
    4. Li, Yanbin & Zhang, Feng & Li, Yun & Wang, Yuwei, 2021. "An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties," Energy, Elsevier, vol. 223(C).
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