1. 国网重庆市电力公司营销服务中心,重庆,400023
2. 四川大学 电气工程学院,四川,成都,610065
网络首发:2026-03-16,
纸质出版:2026-03-16
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成涛, 杨芾藜, 苏宇, 陈文礼, 杨振华, 向月. 计及未上网电量的多层级碳排放因子修正方法[J]. 中国电力, 2026, 59(3): 27-36.
CHENG Tao, YANG Fuli, SU Yu, et al. Multi-level carbon emission factor correction considering non-grid-connected electricity[J]. 2026, 59(3): 27-36.
成涛, 杨芾藜, 苏宇, 陈文礼, 杨振华, 向月. 计及未上网电量的多层级碳排放因子修正方法[J]. 中国电力, 2026, 59(3): 27-36. DOI: 10.11930/j.issn.1004-9649.202509030.
CHENG Tao, YANG Fuli, SU Yu, et al. Multi-level carbon emission factor correction considering non-grid-connected electricity[J]. 2026, 59(3): 27-36. DOI: 10.11930/j.issn.1004-9649.202509030.
准确的碳排放因子是实现电力系统低碳转型的核心依据。现行电网平均碳排放因子时空颗粒度粗,碳流追踪方法又难以适配实际复杂电网海量节点计算需求,且两者皆忽略区域未上网电量。为此,提出一种考虑未上网电量的多层级区域碳排放因子修正方法。该方法基于电气剖分理论构建碳排放因子求解框架,将实际电网按电压等级自上而下划分为省级、地市级、终端用户3层结构。在各层级计算中采取分层递进策略,最终将未上网电量环境效益归属至所在节点,对已上网电量碳排放因子进行动态修正。省级-地市-终端用户3层算例验证了方法的可行性,实现了时空颗粒度精细化,并充分计及分布式资源环境效益,可为区域电力系统碳核算提供工程实用化技术路径。
Accurate carbon emission factors serve as the core basis for realizing the low-carbon transition of power systems. Currently
the average carbon emission factor of the power grid has coarse spatiotemporal granularity
while the carbon flow tracing methods struggle to meet computational requirements of massive nodes in actual complex power grids. Moreover
both overlook regional non-grid-connected electricity quantity. To address this
a multi-level regional carbon emission factor correction method considering non-grid-connected electricity quantity is proposed. Based on the electrical partitioning theory
this method constructs a solution framework for carbon emission factors and divides the actual power grid into three hierarchical structures (provincial-level
prefecture-level
and end-user level) from top to bottom according to voltage levels. A hierarchical and progressive strategy is adopted in the calculation of each level
ultimately attributing the environmental benefits of non-grid-connected electricity quantity to the corresponding nodes and dynamically correcting the carbon emission factors of grid-connected electricity quantity. Case studies at three levels (provincial
prefecture
and end-user) verify the feasibility of the method
achieving refined spatiotemporal granularity and fully accounting for the environmental benefits of distributed resources. It provides an engineering-practical technical pathway for carbon accounting of regional power systems.
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