Low-Carbon Economic Model of Multi-Energy Microgrid in a Park Considering the Joint Operation of a Carbon Capture Power Plant, Cooling, Heating, and Power System, and Power-to-Gas Equipment

Jie Li, Yafei Li, Xiuli Wang (), Hengyuan Zhang and Yunpeng Xiao ()
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Jie Li: State Grid Suzhou Power Supply Company, State Grid JiangSu Electric Power Company, Suzhou 215004, China
Yafei Li: State Grid Suzhou Power Supply Company, State Grid JiangSu Electric Power Company, Suzhou 215004, China
Xiuli Wang: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Hengyuan Zhang: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Yunpeng Xiao: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Energies, 2025, vol. 18, issue 11, 1-20

Abstract: Multi-energy microgrids (MEMs) can achieve efficient and low-carbon energy utilization by relying on the coordination, complementarity, and coupling conversion of different energy sources, which is of great significance for new energy consumption and energy cascade utilization. In this paper, a low-carbon economic dispatch model of a multi-energy microgrid that uses a joint carbon capture–CHP-P2G operation is proposed. Firstly, the basic structure of the power–electrolysis–methanol energy (PEME) is established. Secondly, a flexible mechanism for the joint operation of CCPPs and CHP is analyzed, and a flexible joint operation model for carbon capture–CHP-P2G is proposed. Finally, considering the system’s low-carbon operation and economy, a low-carbon economic dispatch model for a multi-energy microgrid in a park is established, with the goal of minimizing the total operating cost of PEME in the park. The results illustrate that the introduction of a liquid storage tank reduces the total cost and carbon emissions of the MEM by 4.04% and 8.49%, respectively. The application of an electric boiler and ORC effectively alleviates the problem of peak–valley differences in the electric heating load. Our joint operation model realizes the dual optimization of the MEM’s flexibility and low-carbon requirement through the collaboration of multiple pieces of technology.

Keywords: carbon capture power plants; combined heat and power generation; multi-energy microgrid; carbon–green certificate coupled trading; low-carbon scheduling strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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