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Optimization Scheduling of Hydrogen-Integrated Energy Systems Considering Multi-Timescale Carbon Trading Mechanisms

Author

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  • Jingjing Zhao

    (College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 201399, China)

  • Yangyang Song

    (College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 201399, China)

  • Haocheng Fan

    (College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 201399, China)

Abstract

Amidst the escalating global challenges presented by climate change, carbon trading mechanisms have become critical tools for driving reductions in carbon emissions and optimizing energy systems. However, existing carbon trading models, constrained by fixed settlement cycles, face difficulties in addressing the scheduling needs of energy systems that operate across multiple time scales. To address this challenge, this paper proposes an optimal scheduling methodology for hydrogen-encompassing integrated energy systems that incorporates a multi-time-scale carbon trading mechanism. The proposed approach dynamically optimizes the scheduling and conversion of hydrogen energy, electricity, thermal energy, and other energy forms by flexibly adjusting the carbon trading cycle. It accounts for fluctuations in energy demand and carbon emissions occurring both before and during the operational day. In the day-ahead scheduling phase, a tiered carbon transaction cost model is employed to optimize the initial scheduling framework. During the day scheduling phase, real-time data are utilized to dynamically adjust carbon quotas and emission ranges, further refining the system’s operational strategy. Through the analysis of typical case studies, this method demonstrates significant benefits in reducing carbon emission costs, enhancing energy efficiency, and improving system flexibility.

Suggested Citation

  • Jingjing Zhao & Yangyang Song & Haocheng Fan, 2025. "Optimization Scheduling of Hydrogen-Integrated Energy Systems Considering Multi-Timescale Carbon Trading Mechanisms," Energies, MDPI, vol. 18(7), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:7:p:1612-:d:1619054
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    References listed on IDEAS

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    1. Chicco, Gianfranco & Mancarella, Pierluigi, 2008. "Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part I: Models and indicators," Energy, Elsevier, vol. 33(3), pages 410-417.
    2. Muyuan Du & Zhimeng Zhang & Chunning Ji, 2025. "Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network," Energies, MDPI, vol. 18(3), pages 1-28, January.
    3. Yang, Meng & Liu, Yisheng, 2023. "Research on multi-energy collaborative operation optimization of integrated energy system considering carbon trading and demand response," Energy, Elsevier, vol. 283(C).
    4. Haoyu Chen & Qunli Wu & Chonghao Han, 2025. "Carbon Price Point and Interval-Valued Prediction Based on a Novel Hybrid Model," Energies, MDPI, vol. 18(5), pages 1-31, February.
    5. Farahani, Samira S. & Bleeker, Cliff & van Wijk, Ad & Lukszo, Zofia, 2020. "Hydrogen-based integrated energy and mobility system for a real-life office environment," Applied Energy, Elsevier, vol. 264(C).
    6. Laimon, M. & Yusaf, T., 2024. "Towards energy freedom: Exploring sustainable solutions for energy independence and self-sufficiency using integrated renewable energy-driven hydrogen system," Renewable Energy, Elsevier, vol. 222(C).
    7. Gang Li & Chen Lin & Yupeng Li, 2025. "Probabilistic Forecasting of Provincial Regional Wind Power Considering Spatio-Temporal Features," Energies, MDPI, vol. 18(3), pages 1-17, January.
    8. Mancarella, Pierluigi & Chicco, Gianfranco, 2008. "Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part II: Analysis techniques and application cases," Energy, Elsevier, vol. 33(3), pages 418-430.
    9. Fanying Kong & Hongyu Ren, 2025. "Advances in Green Energy, Environment and Carbon Neutralization," Energies, MDPI, vol. 18(5), pages 1-4, February.
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