复杂电力系统网络的碳排放流追踪研究

马磊; 卢浩; 李雅洁

doi:10.13568/j.cnki.651094.651316.2024.07.02.0001

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复杂电力系统网络的碳排放流追踪研究

新能源与绿色生产专题 | 更新时间：2026-01-21

- 复杂电力系统网络的碳排放流追踪研究
- 复杂电力系统网络的碳排放流追踪研究
- 新疆大学学报（自然科学版中英文） 2025年42卷第2期页码：186-201
- 作者机构：
  
  1. 新疆大学智能科学与技术学院
  2. 新疆大学电气工程学院
  3. 新疆大学西北能源碳中和教育部工程研究中心
  4. 国网新疆电力有限公司信息通信公司
- 作者简介：
- 基金信息：
  
  新疆维吾尔自治区重大科技专项“燃煤锅炉变负荷运行智能控制技术研究”（2023A01005-1）;国家自然科学基金地区项目“基于超疏水表面微结构优化的光伏组件自清洁机理与性能调控研究”（52266017）;国家社会科学基金重大项目“碳中和目标驱动下多能互补体系的协同机理与实现路径研究”（21&ZD133）
- DOI：10.13568/j.cnki.651094.651316.2024.07.02.0001
  中图分类号： X322;TM73
- 纸质出版：2025
- 稿件说明：
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[1]马磊,卢浩,李雅洁.复杂电力系统网络的碳排放流追踪研究[J].新疆大学学报(自然科学版中英文),2025,42(02):186-201.
[1]马磊,卢浩,李雅洁.复杂电力系统网络的碳排放流追踪研究[J].新疆大学学报(自然科学版中英文),2025,42(02):186-201. DOI： 10.13568/j.cnki.651094.651316.2024.07.02.0001.

DOI：10.13568/j.cnki.651094.651316.2024.07.02.0001.

摘要

现代电力系统中多数电厂采用电碳因子估计二氧化碳排放量．针对电碳因子在多节点电力系统网络中追踪碳流时，电力系统网络节点数升高导致网络中功率流向复杂，使用传统稀疏矩阵将难以追踪碳流的问题，提出了一种网络节点重构方法．通过改变网络节点顺序使整个网络功率的流向与节点序号呈正相关，使其成为单一流向的电力网络，解决了传统稀疏矩阵因阶数升高导致的难以追踪线路碳流的问题．进一步考虑传输线路损耗对节点碳势与碳流密度的影响．以IEEE 14、IEEE 118无损节点系统与IEEE 30有损节点系统分别验证了该碳流追踪模型的准确性与快速性．最后，通过传统风光火储园区模型验证了精准的电碳因子能够有效降低系统运行的成本与碳排放．

Abstract

Most power plants in modern power systems use electric carbon factors to estimate carbon dioxide emissions. For the electric carbon factor to track the carbon flow in the multi-node power system networks

the elevated number of nodes in the power system network leads to the complexity of the power flow direction in the network

and it will be difficult to track the carbon flow using the traditional sparse matrix. A network node reconfiguration method is proposed to make the flow direction of power in the whole network positively correlated with the node order number by changing the order of network nodes to make it a single flow direction power network. The problem that it is difficult to track the line carbon flow with the elevated order of the traditional sparse matrix is solved. The effect of transmission line losses on the node carbon potential and carbon flow density is further considered. The accuracy and speed of this carbon flow tracking model are verified with IEEE 14

IEEE118 lossless node system and IEEE 30 lossy node system

respectively. At last

the traditional wind-solar-thermalstorage park model was used to verify that precise electricity-carbon factors can effectively reduce the operating costs and carbon emissions of the system.

关键词

Keywords

references

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