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Source-Load Coordinated Low-Carbon Economic Dispatch of Microgrid including Electric Vehicles

Author

Listed:
  • Jiaqi Wu

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Qian Zhang

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Yangdong Lu

    (State Grid Sichuan Meishan Electric Power Supply Company, Meishan 620860, China)

  • Tianxi Qin

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Jianyong Bai

    (State Grid Sichuan Meishan Electric Power Supply Company, Meishan 620860, China)

Abstract

As the global warming crisis becomes increasingly serious, sustainable dispatch strategies that can reduce CO 2 emissions are gradually developed. Aiming at the problems of poor synergy between carbon capture systems (CCS) and P2G as well as the potential of the source-load interaction of microgrids with electric vehicles for carbon reduction that needs to be explored, this paper proposes a source-load coordinated low-carbon economic dispatch strategy for microgrids, including electric vehicles. Firstly, considering the low-carbon operation characteristics of CCS and P2G, a comprehensively flexible and cooperative operation mode for CCS and P2G is constructed. Secondly, based on the carbon reduction potential of demand response on the energy consumption side, a demand response optimal scheduling model considering the participation of electric vehicles in the microgrid is established. Finally, based on the complementary characteristics of low-carbon resources on both sides of the microgrid, a source-load coordinated low-carbon economic dispatch strategy for the microgrid is proposed. The results show that the strategy proposed in this paper can fully use the energy time-shift advantage of CCS and P2G and can combine EVs and other load-side resources to flexibly participate in demand-side response, which effectively realizes source-load synergy and improves the low carbon and economy of the microgrid.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15287-:d:1267321
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    References listed on IDEAS

    as
    1. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    2. Mingrui Zhang & Ming Gan & Luyao Li, 2019. "Sizing and Siting of Distributed Generators and Energy Storage in a Microgrid Considering Plug-in Electric Vehicles," Energies, MDPI, vol. 12(12), pages 1-17, June.
    3. Huang, Shaojun & Tang, Weichu & Wu, Qiuwei & Li, Canbing, 2019. "Network constrained economic dispatch of integrated heat and electricity systems through mixed integer conic programming," Energy, Elsevier, vol. 179(C), pages 464-474.
    4. Bo Tranberg & Olivier Corradi & Bruno Lajoie & Thomas Gibon & Iain Staffell & Gorm Bruun Andresen, 2018. "Real-Time Carbon Accounting Method for the European Electricity Markets," Papers 1812.06679, arXiv.org, revised May 2019.
    5. 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.
    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).
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