Research on Calculation Model of Power Supply Carbon Emission Factor in Regional Power Grid Considering Hierarchical and Regional Decoupling of Large-scale Power Grid
Accurate accounting of carbon emissions in each power supply area is the premise for power supply enterprises to carry out carbon emissions management and promote the carbon peak and carbon neutrality strategy.In this paper,an equivalent model of graded partition power exchange for large-scale power grid with 500 kV voltage level is proposed.Aiming at the proportion of power generation type of consumed electric quantity,the proportion of power generation type of exchange electricity and the area with unclear carbon trace,this paper divides the provincial power grid into several grades,and each grade contains several power supply areas.Based on the conservation of electricity production and consumption and the balance relationship of exchange electricity between provincial and regional power grids,this paper proposes a calculation model of power supply carbon emission factor of regional power grid which is hierarchical and regional decoupling according to the proportion of different kinds of power generation such as fire,water,wind and light in the area where the consumed electric quantity belongs to.The calculation models of total power generation and various types of power generation in the province,the calculation models of various types of power generation transmitted to other provinces,and the calculation models of various types of power generation in each region of the provincial power grid are constructed,respectively.The calculation models of comprehensive carbon emission factors and carbon emissions of power supply in each region of the provincial power grid are derived.The case calculation shows that the method of hierarchical partition and the calculation model of each electric quantity are effective and reasonable.
power supply areacarbon emission factorexchange electricityhierarchical and regional decouplingcomprehensive carbon emission factor