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Scheduling Optimization of IEHS with Uncertainty of Wind Power and Operation Mode of CCP

Author

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  • Yuxing Liu

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Linjun Zeng

    (School of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, China)

  • Jie Zeng

    (State Grid Hunan Electric Power Corporation Limited Loudi Power Supply Company, Loudi 417000, China)

  • Zhenyi Yang

    (State Grid Hunan Electric Power Corporation Limited Loudi Power Supply Company, Loudi 417000, China)

  • Na Li

    (State Grid Hunan Electric Power Corporation Limited Loudi Power Supply Company, Loudi 417000, China)

  • Yuxin Li

    (Department of Electricity Supply Services, Changsha Electric Power Technical College, Changsha 410131, China)

Abstract

With the gradual depletion of fossil energy sources and the improvement in environmental protection attention, efficient use of energy and reduction in carbon emissions have become urgent issues. The integrated electricity and heating energy system (IEHS) is a significant solution to reduce the proportion of fossil fuel and carbon emissions. In this paper, a stochastic optimization model of the IEHS considering the uncertainty of wind power (WP) output and carbon capture power plants (CCPs) is proposed. The WP output in the IEHS is represented by stochastic scenarios, and the scenarios are reduced by fast scenario reduction to obtain typical scenarios. Then, the conventional thermal power plants are modified with CCPs, and the CCPs are equipped with flue gas bypass systems and solution storage to form the integrated and flexible operation mode of CCPs. Furthermore, based on the different load demand responses (DRs) in the IEHS, the optimization model of the IEHS with a CCP is constructed. Finally, the results show that with the proposed optimization model and shunt-type CCP, the integrated operation approach allows for a better reduction in carbon capture costs and carbon emissions.

Suggested Citation

  • Yuxing Liu & Linjun Zeng & Jie Zeng & Zhenyi Yang & Na Li & Yuxin Li, 2023. "Scheduling Optimization of IEHS with Uncertainty of Wind Power and Operation Mode of CCP," Energies, MDPI, vol. 16(5), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2157-:d:1077930
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    References listed on IDEAS

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    Cited by:

    1. Jiaqi Wu & Qian Zhang & Yangdong Lu & Tianxi Qin & Jianyong Bai, 2023. "Source-Load Coordinated Low-Carbon Economic Dispatch of Microgrid including Electric Vehicles," Sustainability, MDPI, vol. 15(21), pages 1-21, October.

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