1.北京电力交易中心有限公司,北京市 100031
2.华北电力大学经济与管理学院,北京市 102206
3.国网数字科技控股有限公司,北京市 100077
张 显(1977—),男,博士,教授级高级工程师,主要研究方向:电力市场运营与管理、电力系统优化。E-mail:xian-zhang@sgcc.com.cn
谢 开(1971—),男,博士,教授级高级工程师,主要研究方向:电力市场、电力系统。E-mail:kai-xie@sgcc.com.cn
张晓静(2001—),女,硕士研究生,主要研究方向:电力经济。E-mail:zhangxiaojing4341@163.com
许传博(1993—),男,通信作者,博士,主要研究方向:电力经济。E-mail:chuanbo_xu@ncepu.edu.cn
收稿:2025-07-18,
修回:2025-12-02,
网络首发:2025-12-22,
纸质出版:2026-02-25
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张显,谢开,张晓静等.基于合约路径的电力用户分时碳排放溯源[J].电力系统自动化,2026,50(4):56-68.
ZHANG Xian,XIE Kai,ZHANG Xiaojing,et al.Time-of-use Traceback of Carbon Emissions for Electricity Consumers Based on Contract Paths[J].Automation of Electric Power Systems,2026,50(4):56-68.
张显,谢开,张晓静等.基于合约路径的电力用户分时碳排放溯源[J].电力系统自动化,2026,50(4):56-68. DOI: 10.7500/AEPS20250718004.
ZHANG Xian,XIE Kai,ZHANG Xiaojing,et al.Time-of-use Traceback of Carbon Emissions for Electricity Consumers Based on Contract Paths[J].Automation of Electric Power Systems,2026,50(4):56-68. DOI: 10.7500/AEPS20250718004.
在“双碳”目标下,精准核算电力用户用电的间接碳排放至关重要。针对电力用户侧碳排放核算存在的溯源精度不足与环境权益分配模糊等问题,提出了一种基于合约路径的碳排放溯源方法。首先,通过构建电力交易合约的虚拟传输路径,建立了电力用户用电行为与发电侧碳属性的直接关联机制;然后,构建了多电源合约电量协同分解模型,以实现新能源出力与电力用户负荷的时序匹配,并建立了基于交易类型的碳责任归属机制,形成了完整的电力用户侧碳排放核算方法体系。在此基础上,对比分析了所提方法与常规核算方法在精确性和公平性方面的差异。最后,采用实际交易数据进行算例分析,结果表明,所提方法能够有效识别电力用户的供电电源结构特征,准确量化绿电的减排贡献。
For the goal of carbon emission peak and carbon neutrality
accurate accounting of indirect carbon emissions associated with electricity consumption of electricity consumers is of significant importance. Addressing the problems in the carbon emission accounting on the electricity consumer side such as insufficient traceback accuracy and ambiguous allocation of environmental benefits
a traceback method of carbon emissions based on contract paths is proposed. First
by constructing the virtual transmission paths for electricity trading contracts
a direct correlation mechanism between the electricity consumption behaviors of electricity consumers and the carbon attributes on power generation sides is established. Second
a coordinated decomposition model for contracted electricity quantities of multiple power sources is constructed to achieve the temporal matching between renewable energy power output and electricity consumer load. A carbon responsibility attribution mechanism based on trading types is further established
forming a complete accounting method system of carbon emissions on the electricity consumer side. On this basis
the differences in accuracy and fairness between the proposed method and the conventional accounting method are compared and analyzed. Finally
a case study using real trading data is conducted
and the results show that the proposed method can effectively identify the power supply structure characteristics of power sources for electricity consumers
and accurately quantify the carbon emission reduction contribution of green electricity.
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