In order to improve the consumption level of new energy and reduce CO2 emissions, a joint scheduling model considering demand side and carbon capture electricity to gas virtual power plant is constructed in a carbon trading environment. Carbon storage tanks are added between carbon capture and electricity to gas equipment to solve the problem of asynchronous operation between the two. Firstly, establish a virtual power plant scheduling framework; Secondly, analyze the demand side, carbon capture electricity to gas conversion, new energy generation, and carbon trading scheduling mechanisms and costs; Then, a low-carbon economic dispatch model is constructed with the goal of optimizing comprehensive costs and minimizing carbon emissions; Finally, simulation verification was conducted, and the results showed that the proposed scheduling method is effective, which can improve the level of new energy consumption, reduce CO2 emissions, and enhance the total cost for virtual power plants.

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Low Carbon Scheduling of Virtual Power Plants in Integrated Energy Systems Considering Demand Side

  • Jianbin Lu,
  • Shuai Han,
  • Siyang Sun,
  • Ning Wu,
  • Wenchuan Meng,
  • Zaimin Yang

摘要

In order to improve the consumption level of new energy and reduce CO2 emissions, a joint scheduling model considering demand side and carbon capture electricity to gas virtual power plant is constructed in a carbon trading environment. Carbon storage tanks are added between carbon capture and electricity to gas equipment to solve the problem of asynchronous operation between the two. Firstly, establish a virtual power plant scheduling framework; Secondly, analyze the demand side, carbon capture electricity to gas conversion, new energy generation, and carbon trading scheduling mechanisms and costs; Then, a low-carbon economic dispatch model is constructed with the goal of optimizing comprehensive costs and minimizing carbon emissions; Finally, simulation verification was conducted, and the results showed that the proposed scheduling method is effective, which can improve the level of new energy consumption, reduce CO2 emissions, and enhance the total cost for virtual power plants.