Internal benefit optimization model of gas‐thermal power virtual power plant under china's carbon neutral target

AbstractChina's “14th Five‐Year Plan” proposes that “carbon peak” is the basic prerequisite for achieving “carbon neutrality.” To achieve the “carbon neutrality” goal, the key is promoting the use of clean, low‐carbon energy and building a diversified clean energy supply system on the energy supply side. Wind energy, photovoltaics, and other clean energy sources are increasingly relying on electrification (P2G) technology to achieve utilization, and this phenomenon can help China achieve carbon neutrality goals as soon as possible and realize the carbon cycle. This article first aggregates combined heat and power (CHP), wind power, photovoltaics, P2G equipment, and gas storage devices into virtual power plants (VPPs), and the natural gas and electricity trading market are linked. We then take the virtual power plant operating profit maximization as the objective function considering the P2G device operating costs, carbon capture and storage costs. The optimization model is solved by particle swarm algorithm. Finally, the specific operating data of a gas‐thermal power virtual power plant system were selected to verify the feasibility of the proposed optimization model. We got some relevant conclusions. (1) The optimal scheduling of gas‐thermal power virtual power plant considering multiple energy markets can smooth the power load curve and improve the overall system benefit. (2) There is a negative correlation between the income of gas‐thermal power virtual power plant and the confidence level effectively. (3) The optimization model effectively increases the amount of carbon capture, which proves that the gas‐thermal power virtual power plant is effective for achieving China's carbon neutrality goal, it can be developed on a larger scale in future. The above results verify that the optimal operation mode of the gas‐thermal power virtual power plant is effective for achieving carbon neutrality.