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Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates

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  • Qingyou Yan

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy & Low Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Xingbei Ai

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy & Low Carbon Development, North China Electric Power University, Beijing 102206, China)

  • Jinmeng Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy & Low Carbon Development, North China Electric Power University, Beijing 102206, China)

Abstract

To improve the economic benefits of power systems in the process of achieving multi-energy complementation and decarbonization, this paper proposes a dispatching optimization model for virtual power plants (VPP) that considers carbon trading and green certificates. Firstly, the structure of the VPP system integrating wind and solar generators (WP and PV), power-to-gas (P2G), carbon capture power plants (CCPP) and price-based demand response (PBDR) is established. Secondly, the two-way interactive trading models among the VPP, carbon trading and green certification market are constructed. Then, the dispatching optimization model of the VPP is constructed. Finally, the numerical example is solved and analyzed by the chaotic particle swarm optimization algorithm, which verifies the rationality and effectiveness of the new model. The results show that: (1) when the VPP considers the CCPP-P2G, the cost of the system is reduced by USD 2550.48, while the CO 2 emissions are reduced by nearly 50%; (2) the addition of PBDR reduces the CO 2 emissions of the thermal power unit, which has reduced the cost of carbon tax by nearly 27.8%, further reducing the cost of the VPP; (3) the introduction of the carbon trading and green certificate market has reduced the operating cost of the VPP by nearly 22.24%.

Suggested Citation

  • Qingyou Yan & Xingbei Ai & Jinmeng Li, 2021. "Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12423-:d:676226
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    References listed on IDEAS

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    Cited by:

    1. Jiang, Lan & Meng, Ming, 2024. "Optimal production decision of hybrid power generation enterprises in multi-quota policy coupled markets," Energy Economics, Elsevier, vol. 134(C).
    2. 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.
    3. Zahid Ullah & Arshad & Hany Hassanin & James Cugley & Mohammed Al Alawi, 2022. "Planning, Operation, and Design of Market-Based Virtual Power Plant Considering Uncertainty," Energies, MDPI, vol. 15(19), pages 1-16, October.
    4. Yuqing Wang & Min Zhang & Jindi Ao & Zhaozhen Wang & Houqi Dong & Ming Zeng, 2022. "Profit Allocation Strategy of Virtual Power Plant Based on Multi-Objective Optimization in Electricity Market," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    5. 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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