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Low Carbon Economic Dispatch Optimization of Regional Integrated Energy Systems Considering Heating Network and P2G

Author

Listed:
  • Zhao Luo

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Jinghui Wang

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Ni Xiao

    (Faculty of Electric Power Engineering, Oxbridge College, Kunming University of Science and Technology, Kunming 650101, China)

  • Linyan Yang

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Weijie Zhao

    (Kunming Bureau of CSG EHV Transmission Company, Kunming 650217, China)

  • Jialu Geng

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Tao Lu

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Mengshun Luo

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

  • Chenming Dong

    (Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China)

Abstract

Against a background of the energy internet and low-carbon electricity, regional integrated energy system (RIES) has become a key way to achieve sustainable energy development, leading to reduced operating costs and system carbon emissions, and improved system operating efficiency. This paper puts forward a low-carbon economic dispatching optimization method for RIES with a heating network and power-to-gas (P2G). First, the heating network model and the mathematical model of P2G were constructed. Second, the carbon trading mechanism was introduced, the objective function being: to minimize the sum of the system operating cost and carbon trading cost; and ensure that the balance of cooling, heating, electric power, and the operating constraints—of RIES and the heating network—were comprehensively considered. Finally, the CPLEX optimization software simulation was used. The results show that the proposed method can take into account both low-carbon and economic factors, and can provide a reference for RIES low-carbon economic dispatch.

Suggested Citation

  • Zhao Luo & Jinghui Wang & Ni Xiao & Linyan Yang & Weijie Zhao & Jialu Geng & Tao Lu & Mengshun Luo & Chenming Dong, 2022. "Low Carbon Economic Dispatch Optimization of Regional Integrated Energy Systems Considering Heating Network and P2G," Energies, MDPI, vol. 15(15), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5494-:d:875037
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    References listed on IDEAS

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    Cited by:

    1. Junhua Xiong & Huihang Li & Tingling Wang, 2023. "Low-Carbon Economic Dispatch of an Integrated Electricity–Gas–Heat Energy System with Carbon Capture System and Organic Rankine Cycle," Energies, MDPI, vol. 16(24), pages 1-25, December.
    2. Tingling Wang & Tianyu Huo & Huihang Li, 2024. "Bi-Layer Planning of Integrated Energy System by Incorporating Power-to-Gas and Ground Source Heat Pump for Curtailed Wind Power and Economic Cost Reduction," Energies, MDPI, vol. 17(6), pages 1-22, March.
    3. Pengfei Duan & Mengdan Feng & Bingxu Zhao & Qingwen Xue & Kang Li & Jinglei Chen, 2024. "Operational Optimization of Regional Integrated Energy Systems with Heat Pumps and Hydrogen Renewable Energy under Integrated Demand Response," Sustainability, MDPI, vol. 16(3), pages 1-18, January.
    4. Fei Teng & Qing Zhang & Tao Zou & Jun Zhu & Yonggang Tu & Qian Feng, 2022. "Energy Management Strategy for Seaport Integrated Energy System under Polymorphic Network," Sustainability, MDPI, vol. 15(1), pages 1-22, December.

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