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Multi-energy coupling analysis and optimal scheduling of regional integrated energy system

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  • Wang, Jianhui
  • Mao, Jiangwei
  • Hao, Ruhai
  • Li, Shoudong
  • Bao, Guangqing

Abstract

Two novel integrated models for power-to-gas (P2G) with carbon capture system (CCS) and hydrogen fuel cell (HFC) are proposed to further reduce the carbon emission of the integrated energy system (IES). First, a joint operation framework on the strength of P2G with CCS and HFC (PCH) is proposed. Then, based on PCH, two modeling and analysis methods of ‘setting gas with heat (SGWH)' and ‘setting energy with carbon (SEWC)' are proposed, under which two new integration models are established PCH under the SGWH (PCH_SGWH) and PCH under the SEWC (PCH_SEWC), and their electricity, heat, gas, and carbon coupling characteristics are analyzed. Finally, coupled with combined heat and power (CHP), gas boiler (GB), and energy storage (ES), an IES low-carbon economic dispatch model considering a carbon trading mechanism is constructed. The contribution of PCH and PCH_SGWH and PCH_SEWC to low-carbon operation is compared and verified by setting multiple operational scenarios. The simulation results show that compared with IES without PCH, IES with PCH_SGWH, and IES with PCH_SEWC can comprehensively improve the low-carbon economy of IES from the perspectives of wind power absorption, carbon generation, emission, and operating cost. Among them, IES with PCH_SEWC shows better performance, which can increase the wind power absorption rate by 21.96%, reduce carbon production and carbon emissions by 21.25% and 64.4%, and reduce operating costs by 44.7%.

Suggested Citation

  • Wang, Jianhui & Mao, Jiangwei & Hao, Ruhai & Li, Shoudong & Bao, Guangqing, 2022. "Multi-energy coupling analysis and optimal scheduling of regional integrated energy system," Energy, Elsevier, vol. 254(PC).
    • Handle: RePEc:eee:energy:v:254:y:2022:i:pc:s0360544222013858
    DOI: 10.1016/j.energy.2022.124482
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    References listed on IDEAS

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    Cited by:

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    3. Wang, Xuan & Wang, Shouxiang & Zhao, Qianyu, 2024. "Low-carbon economic scheduling of multi-energy system based on price interactive response," Energy, Elsevier, vol. 300(C).
    4. Pan, Chongchao & Jin, Tai & Li, Na & Wang, Guanxiong & Hou, Xiaowang & Gu, Yueqing, 2023. "Multi-objective and two-stage optimization study of integrated energy systems considering P2G and integrated demand responses," Energy, Elsevier, vol. 270(C).
    5. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    6. Wu, Qunli & Li, Chunxiang, 2023. "Modeling and operation optimization of hydrogen-based integrated energy system with refined power-to-gas and carbon-capture-storage technologies under carbon trading," Energy, Elsevier, vol. 270(C).
    7. Zijie Zheng & Abuduwayiti Xiwang & Yufeng Sun, 2024. "Optimal Scheduling of Integrated Energy System Considering Hydrogen Blending Gas and Demand Response," Energies, MDPI, vol. 17(8), pages 1-17, April.
    8. Hou, Hui & Ge, Xiangdi & Yan, Yulin & Lu, Yanchao & Zhang, Ji & Dong, Zhao Yang, 2024. "An integrated energy system “green-carbon” offset mechanism and optimization method with Stackelberg game," Energy, Elsevier, vol. 294(C).

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