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Optimal dispatch of integrated energy station considering carbon capture and hydrogen demand

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  • Wang, Shouxiang
  • Wang, Shaomin
  • Zhao, Qianyu
  • Dong, Shuai
  • Li, Hao

Abstract

To respond to the escalating contradiction between improving economy and reducing carbon emissions, a low-carbon optimal dispatch model of integrated energy station (IES) considering carbon capture and hydrogen demand is proposed. First, a wind-photovoltaic-hydrogen power (WPHP) integration model is built, giving an effective way of renewable energy accommodating and reliable hydrogen supplying of IES. The WPHP significantly improves system economy and decreases the renewable energy curtailment, especially with a high proportion integrated; Then, a coupling model of carbon capture system (CCS) and power-to-gas (P2G) is built. The model resolves the problem of carbon source of P2G and reduces the carbon net emissions, changing the carbon trading cost from expenditure to profit; Next, an integrated demand response (IDR) model is built covering electricity, gas, cooling, hydrogen load as well as the heating load with different heat grade requirements. The IDR further improves multi-energy users' satisfaction, the economy and stability of IES by decreasing the peak-valley difference and increasing load ratio of multi-energy loads. Finally, an optimal dispatch model of IES is built with the objective of minimizing the cost of economic, carbon emission trading and users’ dissatisfaction, and the effectiveness of the model is verified by a numerical example.

Suggested Citation

  • Wang, Shouxiang & Wang, Shaomin & Zhao, Qianyu & Dong, Shuai & Li, Hao, 2023. "Optimal dispatch of integrated energy station considering carbon capture and hydrogen demand," Energy, Elsevier, vol. 269(C).
    • Handle: RePEc:eee:energy:v:269:y:2023:i:c:s0360544223003754
    DOI: 10.1016/j.energy.2023.126981
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    3. Ma, Siyu & Liu, Hui & Wang, Ni & Huang, Lidong & Su, Jinshuo & Zhao, Teyang, 2024. "Incentive-based integrated demand response with multi-energy time-varying carbon emission factors," Applied Energy, Elsevier, vol. 359(C).
    4. Yuzhe Zhao & Jingwen Chen, 2024. "Collaborative Optimization Scheduling of Multi-Microgrids Incorporating Hydrogen-Doped Natural Gas and P2G–CCS Coupling under Carbon Trading and Carbon Emission Constraints," Energies, MDPI, vol. 17(8), pages 1-31, April.
    5. Wu, Yanjuan & Wang, Caiwei & Wang, Yunliang, 2024. "Cooperative game optimization scheduling of multi-region integrated energy system based on ADMM algorithm," Energy, Elsevier, vol. 302(C).
    6. Long Wang, 2023. "Optimal Scheduling Strategy for Multi-Energy Microgrid Considering Integrated Demand Response," Energies, MDPI, vol. 16(12), pages 1-17, June.
    7. Ni, Hang & Qu, Xinhe & Zhao, Gang & Zhang, Ping & Peng, Wei, 2024. "Research on two novel hydrogen-electricity-heat polygeneration systems using very-high-temperature gas-cooled reactor and hybrid-sulfur cycle," Energy, Elsevier, vol. 290(C).
    8. Li, Fei & Wang, Dong & Guo, Hengdao & Zhang, Jianhua, 2024. "Distributionally Robust Optimization for integrated energy system accounting for refinement utilization of hydrogen and ladder-type carbon trading mechanism," Applied Energy, Elsevier, vol. 367(C).
    9. Wang, Haibing & Zhao, Anjie & Khan, Muhammad Qasim & Sun, Weiqing, 2024. "Optimal operation of energy hub considering reward-punishment ladder carbon trading and electrothermal demand coupling," Energy, Elsevier, vol. 286(C).
    10. Lili Mo & Zeyu Deng & Haoyong Chen & Junkun Lan, 2023. "Multi-Objective Co-Operative Game-Based Optimization for Park-Level Integrated Energy System Based on Exergy-Economic Analysis," Energies, MDPI, vol. 16(24), pages 1-19, December.
    11. Elsir, Mohamed & Al-Sumaiti, Ameena Saad & El Moursi, Mohamed Shawky, 2024. "Towards energy transition: A novel day-ahead operation scheduling strategy for demand response and hybrid energy storage systems in smart grid," Energy, Elsevier, vol. 293(C).

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