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

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