Tracing Carbon Responsibility Based on Carbon Emission Flow Tracking Theory

Xiaofeng Ren, Yiqing Wang, Hailong Gao, Xuequan Xiao, Yushan Zhou, Hao Zhou
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Abstract

This paper proposes an improved model for tracing carbon emissions in power systems, which to some extent addresses the lack of fairness in traditional methods. The model, based on the AC power flow calculation considering network losses, first identifies key indicators for carbon emission flow calculations, such as nodal carbon intensity. Then, it calculates the carbon flow rates for each branch and node, resulting in the distribution of carbon emission flows in the system.; The improved forward carbon emission flow tracing algorithm and reverse carbon emission flow tracing algorithm are then applied to fairly and reasonably allocate the controversial carbon emission losses of the network to the power sources and loads. The results of the case study tests show that the method improves the accuracy and fairness of the carbon emission allocation in the network, making carbon responsibility traceable.
基于碳排放流追踪理论的碳责任追踪
本文提出了一种改进的电力系统碳排放追踪模型,在一定程度上解决了传统方法缺乏公平性的问题。该模型在考虑网损的交流潮流计算基础上,首先确定节点碳强度等碳排放流计算的关键指标。然后,计算各分支和节点的碳流量,得到系统中碳排放流量的分布;然后应用改进的正向碳排放流追踪算法和反向碳排放流追踪算法,将电网中有争议的碳排放损失公平合理地分配给各电源和负荷。实例分析测试结果表明,该方法提高了网络碳排放分配的准确性和公平性,使碳责任可追溯。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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