Abstract: Currently, the pilot work of green electricity transaction has been officially launched, which promots the deployment of the dual-carbon goal by introducing the market approach with green certificate trading as the main strategy. Green electricity transaction encourages the competitions in the renewable energy markets, accelerates the benign change of the energy mix in power generation, promotes the consumption of renewable energy, and ultimately makes positive impacts by optimizing carbon emission and carbon consumption. Based on the graph database and graph computing, this paper proposes a visual regional carbon emission model. According to the carbon exchange characteristics of different regions, a quantitative evaluation system for regional electricity carbon emission conduction is constructed. Through quantitative analysis of the carbon intensity difference between the local-based carbon intensity and the market-based carbon intensity after the introduction of green electricity trading, the monitoring of electricity carbon intensity changes is achieved between the green power trading areas, the visualization of electricity carbon emission is realized based on the analysis results. Finally, the strategic prediction and the theoretical reference value of the electricity carbon emission conduction quantitative evaluation system considering green electricity trading is discussed for the green electricity trading behavior in the electricity market.