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Low carbon dispatch method for hydrogen-containing integrated energy system considering seasonal carbon trading and energy sharing mechanism

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  • Huo, Shasha
  • Li, Qi
  • Pu, Yuchen
  • Xie, Shuqi
  • Chen, Weirong

Abstract

The increase in the share of renewable energy sources in the integrated energy system (IES) has led to the bidirectional flow of electricity and carbon in the transmission and distribution network, which has increased dispatch complexity. To address these issues, this paper proposes an optimal scheduling method for IES considering the seasonal carbon trading mechanism and electricity-carbon quota sharing method. First, an energy hub model of the integrated electric-heat-carbon energy system was established, with the introduction of carbon flow. Then, a seasonal carbon trading mechanism that considers the characteristics of carbon emissions in each period of the system is proposed, and the ladder-type carbon price model and carbon quota allocation method are optimized. Moreover, to fully utilize the interaction between electricity and carbon to achieve low-carbon economic dispatch, a dual time-scale electricity-carbon quota sharing method is proposed. Finally, the effectiveness of the proposed method is verified by the case studies. The results show that the scheduling method considering seasonal carbon trading mechanism and electricity-carbon quota energy sharing can optimize the allocation of resources such as electricity and carbon quota among the systems, and reduce the cost of the system by 6.04 % and carbon emission by 4.27 %.

Suggested Citation

  • Huo, Shasha & Li, Qi & Pu, Yuchen & Xie, Shuqi & Chen, Weirong, 2024. "Low carbon dispatch method for hydrogen-containing integrated energy system considering seasonal carbon trading and energy sharing mechanism," Energy, Elsevier, vol. 308(C).
    • Handle: RePEc:eee:energy:v:308:y:2024:i:c:s0360544224025684
    DOI: 10.1016/j.energy.2024.132794
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    1. Gao, Minkun & Xiang, Leijun & Zhu, Shanying & Lin, Qichao, 2024. "Scenario probabilistic data-driven two-stage robust optimal operation strategy for regional integrated energy systems considering ladder-type carbon trading," Renewable Energy, Elsevier, vol. 237(PD).
    2. Xunwen Zhao & Hailin Mu & Nan Li & Xue Kong & Xunpeng Shi, 2025. "Optimization Research on a Novel Community Integrated Energy System Based on Solar Energy Utilization and Energy Storage," Energies, MDPI, vol. 18(5), pages 1-19, February.

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