新型电力系统能源调度与碳排放计价优化方法研究OA北大核心CSTPCD

Carbon emission pricing or other interventions can reduce greenhouse gas emissions and thus mitigating the impacts of climate change.This paper establishes a new synergistic optimization method for carbon pricing and energy dispatching based on a weighted and segmented approach,which can reduce the expected emissions from the power sector below a specified target.The problem is formulated as a two-tier planning problem:the upper tier is carbon rate optimization with the objective of maximizing the social benefit of total carbon emissions,and the lower tier is carbon synergistic unit mix optimization for a typical day with the objective of minimizing the operating cost,taking into account various operating conditions as well as constraints such as the decision on the binary unit mix.The optimal rates are determined using a weighted summation segmentation method to achieve a given emission tar-get and compared with a constrained emission margin approach.The relationship between system investment and the carbon emissions formulation process is also investigated.The results of a case study based on a test system show that the method can reliably find the lowest carbon pricing rate that satisfies the emission target,validating the effectiveness of the proposed method.