Analysis of Carbon Emission Reduction Potential of Regional Multi-Energy System Considering the Influencing Factors of Carbon Emissions

With the proposal of “30.60” to achieve the goal of “carbon peak and carbon neutrality”, in order to analyze the carbon emission reduction potential of regional multi-energy system (RMES), this paper proposes an optimization method that considers the influencing factors of carbon emissions. Firstly, the RMES is modeled, secondly, the main factors affecting carbon emissions are screened by gray relation analysis (GRA), and the effectiveness of the power purchase carbon emission model of the power grid is verified based on multiple linear regression to construct the system carbon emission model, and finally, the operating cost and carbon emission of the system under different optimization goals are compared based on Pareto optimality. The simulation results show that when the optimization goal is to minimize operating cost and carbon emissions, the operating cost increases by 6.14%, but the carbon emission decreases by 34.64%, which indicates that the optimization model proposed in this paper is conducive to the low-carbon economic operation of the system. At the same time, compared with the single energy purchase system, the RMES can reduce carbon emissions by about 6 6.46%, and has greater carbon emission reduction potential.