多关联因素下电力系统源荷碳排放责任分配方案

Carbon Emission Responsibility Allocation for Source-Load in Power Systemsunder Multiple Correlated Factors

  • 摘要: 合理分配碳排放责任,在兼顾公平性的同时有效提升分摊结果的激励范围,对推动电力系统低碳化发展至关重要。针对多方碳排责任,在采用碳流追踪模型的基础上,通过考虑负荷跟随特性并建立机组碳排评级系数,构建双向分摊因子,实现火电-负荷预估碳排的双向分摊,并根据出力偏差对应的碳排边际贡献量,采用Shapley值法,得到新能源机组的碳排责任量化结果。结果表明:对比固定系数法的分摊结果,考虑多关联要素的分配方案客观反映出个体的实际状况,明确了火电、负荷间的碳排贡献差异性,解决了新能源隐含碳排放难以准确计量的问题,具有一定的实用价值与参考意义。

     

    Abstract: Reasonably allocating carbon emission obligations and enhancing the incentive scope of apportionment results while ensuring fairness are crucial for promoting the low-carbon development of power systems. For multiple carbon emission obligations, a two-way apportionment factor is constructed based on the carbon flow tracking model. This model accounts for load-following characteristics and incorporates unit carbon emission rating coefficients. The approach allows for the two-way apportionment of predicted carbon emissions from thermal power and load. The Shapley value method is then used to determine the quantitative carbon emission obligations for new energy units based on the marginal carbon emission contribution corresponding to output deviations. The results show that compared with results of the fixed factor method, the allocation method considering multiple related factors objectively reflects the real situation of individuals, clarifies the difference of carbon emission contribution between thermal power and load, solves the problem of difficulty in accurately measuring the implicit carbon emission of new energy, which has certain practical value and reference significance.

     

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