CHENG Yushu. Green Responsibility Certificate Allocation Model Considering Carbon Flow Tracking and User Carbon Emission Level Rating[J]. Modern Electric Power, 2023, 40(6): 890-898. DOI: 10.19725/j.cnki.1007-2322.2022.0125
Citation: CHENG Yushu. Green Responsibility Certificate Allocation Model Considering Carbon Flow Tracking and User Carbon Emission Level Rating[J]. Modern Electric Power, 2023, 40(6): 890-898. DOI: 10.19725/j.cnki.1007-2322.2022.0125

Green Responsibility Certificate Allocation Model Considering Carbon Flow Tracking and User Carbon Emission Level Rating

  • Driven by the goal of carbon neutrality and carbon peaking, demand-side management has gradually become an important way to reduce carbon emissions. In order to better manage the demand side of the power grid, this paper proposes a two-stage power consumption green responsibility certificate allocation model that considers carbon flow tracking and user carbon emission level rating to encourage users to better assume the responsibility of carbon emission reduction. In the first stage of the model, the minimum system power generation cost is selected as the objective function to optimize the power system dispatch, determine the optimal combined output and system power flow of the unit, and then build a carbon flow tracking model to obtain user carbon emissions related indicators; the second stage comprehensively considers user carbon Emissions and Carbon Potential Establish a user carbon emission rating system, and distribute green responsibility certificates with the goal of minimizing the difference in carbon emissions across the entire network, so as to meet the common and different allocation of responsibility for carbon emission reduction entities. The CPLEX solver is used to solve the improved IEEE14 node example. The simulation results show that the method can effectively evaluate the carbon emission level of users, realize the effective distribution of green responsibility certificates, and reduce the equivalent carbon emission status of high-carbon users.
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