Optimal Scheduling of VPP with Carbon Capture and P2G Considering Demand Response

Considering demand response, power-to-gas (P2G), and carbon capture, this article proposes a new virtual power plant (VPP) optimization scheduling model that promotes multi-energy complementarity and low-carbonization of energy. By introducing a synergistic utilization framework of carbon capture power plant (CCPP)-P2G-gas unit, the captured CO2 is utilized as a raw material for power-to-gas, supplying natural gas to the gas unit. Joint scheduling shifts energy consumption of system-related equipment to stabilize renewable energy fluctuations, enabling flexible dispatch and utilization of wind power and photovoltaics. The established high-dimensional nonlinear optimization model is solved using the solver in MATLAB. The simulation results demonstrate the peak-shaving and valley-filling effect of the proposed model, which promotes renewable energy consumption of VPP and effectively reduces costs and carbon emissions.