计及绿证交易电网与区域映射的碳排放核算分析方法

马兆兴; 柳程双; 徐鹏; 陈昊; 王瑞华

doi:10.19912/j.0254-0096.tynxb.2025-1212

PDF(2938 KB)

太阳能学报 ›› 2026, Vol. 47 ›› Issue (8) : 566-575. DOI: 10.19912/j.0254-0096.tynxb.2025-1212

计及绿证交易电网与区域映射的碳排放核算分析方法

马兆兴¹, 柳程双¹, 徐鹏², 陈昊³, 王瑞华¹

作者信息 +

ANALYSIS OF CARBON EMISSION ACCOUNTING FOR ELECTRICITY GRID AND REGIONAL MAPPING CONSIDERING GREEN CERTIFICATE TRADING

Ma Zhaoxing¹, Liu Chengshuang¹, Xu Peng², Chen Hao³, Wang Ruihua¹

Author information +

文章历史 +

摘要

提出一种融合地理空间信息的绿证交易碳排放核算新方法。首先,建立绿证-碳减排关联模型,系统划分绿证交易类型并制定相应核算准则;其次,构建基于交易特征的差异化核算框架,实现绿证交易与区域电网的空间匹配;然后,采用卡尔曼滤波数据处理技术和反演技术,优化火电厂碳排放监测数据精度;最后,通过IEEE 30节点系统和中国某地地理区域进行计算分析,验证所提研究方法的合理性和有效性。

Abstract

This article proposes a new method for carbon emission accounting in green certificate trading that integrates geographic spatial information. Firstly, establish a green certificate carbon emission reduction correlation model, systematically classify green certificate trading types, and formulate corresponding accounting criteria; Secondly, construct a differentiated accounting framework based on transaction characteristics to achieve spatial matching between green certificate transactions and regional power grids; Then, Kalman filtering data processing technology and inversion technology are used to optimize the accuracy of carbon emission monitoring data in thermal power plants; Finally, the rationality and effectiveness of the proposed research method are verified through calculation and analysis using the IEEE 30 node system and a geographical region in China.

导出引用

马兆兴, 柳程双, 徐鹏, 陈昊, 王瑞华. 计及绿证交易电网与区域映射的碳排放核算分析方法[J]. 太阳能学报. 2026, 47(8): 566-575 https://doi.org/10.19912/j.0254-0096.tynxb.2025-1212

Ma Zhaoxing, Liu Chengshuang, Xu Peng, Chen Hao, Wang Ruihua. ANALYSIS OF CARBON EMISSION ACCOUNTING FOR ELECTRICITY GRID AND REGIONAL MAPPING CONSIDERING GREEN CERTIFICATE TRADING[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 566-575 https://doi.org/10.19912/j.0254-0096.tynxb.2025-1212

中图分类号： TM71

参考文献

[1] Liu K, Ni Z Y, Ren M, et al.Spatial differences and influential factors of urban carbon emissions in China under the target of carbon neutrality[J]. International Journal of Environmental Research and Public Health, 2022, 19(11): 6427.
[2] 龙川, 韩宇奇, 王湘, 等. 考虑储能损耗的水光充储配电网节点碳排放特性分析[J]. 太阳能学报, 2025, 46(3): 235-244.
Long C, Han Y Q, Wang X, et al.Analysis for node carbon emission characterics of distribution network with hydro-PV-EV-ESS with considering energy loss of ESS[J]. Acta Energiae Solaris Sinica, 2025, 46(3): 235-244.
[3] 吴杏平, 康重庆, 袁启恒. 我国碳排放影响因素及电力碳排放核算方法研究综述[J]. 中国电机工程学报, 2024, 44(增刊1): 1-18.
Wu X P, Kang C Q, Yuan Q H.A review of the impact factors of carbon emissions and the accounting methods for electricity carbon emissions in China[J]. Proceedings of the CSEE, 2024, 44(S1): 1-18.
[4] 习近平. 正确认识和把握我国发展重大理论和实践问题[J]. 奋斗, 2022(10): 6-11.
Xi J P.Correctly understand and grasp the major theoretical and practical problems of China’s development[J]. Fendou, 2022(10): 6-11.
[5] 宋国辉, 赵亮, 王金平, 等. 绿电耦合生物质制甲醇的储能-释能效率和碳排放[J]. 太阳能学报, 2024, 45(12): 478-484.
Song G H, Zhao L, Wang J P, et al.Energy storage-release efficiency and carbon emission of green electric coupling biomass to methanol production[J]. Acta Energiae Solaris Sinica, 2024, 45(12): 478-484.
[6] 国家发展改革委. 关于印发《完善碳排放统计核算体系工作方案》的通知 [EB/OL]. https://www.gov.cn/zhengce/zhengceku/202410/content_6983052.htm,2024-10-8.
National Development and Reform Commission. Notice on issuing the work plan for improving the carbon emission statistical accounting system[EB/OL] . https://www.gov.cn/zhengce/zhengceku/202410/content_6983052.htm,2024-10-08.
[7] 李捷, 周娟, 李沁原, 等. 城市生态系统碳核算方法演进与应用分析[J]. 环境工程技术学报, 2025, 15(2): 474-485.
Li J, Zhou J, Li Q Y, et al.Evolution and application analysis of carbon accounting methods in urban ecosystem[J]. Journal of Environmental Engineering Technology, 2025, 15(2): 474-485.
[8] International Carbon Action Partnership and World Bank. Emission trading in practice: handbook on design and implementation (2ed version) [R].2022.
[9] 李姚旺, 张宁, 杜尔顺, 等. 基于碳排放流的电力系统低碳需求响应机制研究及效益分析[J]. 中国电机工程学报, 2022, 42(8): 2830-2842.
Li Y W, Zhang N, Du E S, et al.Mechanism study and benefit analysis on power system low carbon demand response based on carbon emission flow[J]. Proceedings of the CSEE, 2022, 42(8): 2830-2842.
[10] 张宁, 李姚旺, 黄俊辉, 等. 电力系统全环节碳计量方法与碳表系统[J]. 电力系统自动化, 2023, 47(9): 2-12.
Zhang N, Li Y W, Huang J H, et al.Carbon measurement method and carbon meter system for whole chain of power system[J]. Automation of Electric Power Systems, 2023, 47(9): 2-12.
[11] 国家电网公司. 国家电网确定新型电力系统科技攻关十大重点项目[EB/OL]. (2022-5-20) [2023-2-8].http://www.nea.gov.cn/2022-05/20/c_1310599503.htm.
State Grid Corporation.State Grid Corporation of China has determined ten key projects for scientific and technological research on new power systems[EB/OL]. http://www.nea.gov.cn/2022-05/20/c_1310599503.htm.
[12] Wang T, Huang Z, Ying R X, et al.A low-carbon operation optimization method of ETG-RIES based on adaptive optimization spiking neural P systems[J]. Protection and Control of Modern Power Systems, 2024, 9(5): 162-177.
[13] 张文峰. 开启计量发展新征程,服务经济社会高质量发展[EB/OL]. (2022-5-27) [2023-2-8].https://www.samr.gov.cn/jls/zt/jljc/tywz/202205/t20220518_347073.html.
Zhang W F.Start a new journey of metrology development and serve the high-quality development of the economy and society[EB/OL]. [2023-2-8] https://www.samr.gov.cn/jls/zt/jljc/tywz/202205/t20220518_347073.html.
[14] 魏夕凯, 谭效时, 林明, 等. 2005—2035年全国电网碳排放因子的计算与预测[J]. 综合智慧能源, 2024, 46(3): 72-78.
Wei X K, Tan X S, Lin M, et al.Calculation and prediction of carbon emission factors for the national power grid from 2005 to 2035[J]. Integrated Intelligent Energy, 2024, 46(3): 72-78.
[15] 李姚旺, 刘昱良, 杨晓斌, 等. 计及电量交易信息的用电碳计量方法[J]. 中国电机工程学报, 2024, 44(2): 439-450.
Li Y W, Liu Y L, Yang X B, et al.Electricity carbon metering method considering electricity transaction information[J]. Proceedings of the CSEE, 2024, 44(2): 439-450.
[16] 尚楠, 陈政, 卢治霖, 等. 电力市场、碳市场及绿证市场互动机理及协调机制[J]. 电网技术, 2023, 47(1): 142-154.
Shang N, Chen Z, Lu Z L, et al.Interaction principle and cohesive mechanism between electricity market, carbon market and green power certificate market[J]. Power System Technology, 2023, 47(1): 142-154.
[17] 张显, 汤亚宸, 李达, 等. 考虑绿电交易的电力碳排放定量测算[J]. 电网技术, 2024, 48(5): 1957-1966.
Zhang X, Tang Y C, Li D, et al.Carbon emission evaluation for green power transaction[J]. Power system technology, 2024, 48(5): 1957-1966.
[18] 王蓬蓬, 宋运忠. 计及最恶劣场景概率和供需灵活性的综合能源系统分布鲁棒低碳优化调度[J]. 电力系统保护与控制, 2024, 52(13): 78-89.
Wang P P, Song Y Z.Distributed robust low-carbon optimal scheduling of an integrated energy system considering worst-case scenario probability and flexibility of supply and demand[J]. Power System Protection and Control, 2024, 52(13): 78-89.
[19] 李伊竹林, 韩肖清, 李廷钧, 等. 基于动态电-碳需求响应的综合能源系统日前多元低碳交易方法[J]. 电力系统自动化, 2024, 48(12): 24-35.
Li Y Z L, Han X Q, Li T J, et al. Day ahead multi agent low carbon trading method for integrated energy system based on dynamic electricity carbon demand response[J]. Automation of Electric Power Systems, 2024, 48(12): 24 35.
[20] 安源, 嘉程昊, 宁旭阳, 等. 考虑风光相关性与灵活碳捕集的互补系统低碳经济调度[J]. 太阳能学报, 2024, 45(11): 40-49.
An Y, Jia C H, Ning X Y, et al.Low-carbon economic scheduling considering wind-pv correlation and flexible carbon capture in complementary system[J]. Acta Energiae Solaris Sinica, 2024, 45(11): 40-49.
[21] 日本的绿证发展经验[EB/OL]. [2023.11.17] https://36k.com/p/2193928802011008.
Japan’s experience in developing green certificates [EB/OL].[2023.11.17] https://36kr.com/p/2193928802011008.
[22] 高建强, 宋铜铜, 杨东江. 燃煤发电机组碳排放折算方法研究与应用[J]. 热力发电, 2020, 49(2): 88-92.
Gao J Q, Song T T, Yang D J.Research and application of carbon emission conversion method for coal-fired generating units[J]. Thermal Power Generation, 2020, 49(2): 88-92.
[23] 赵广辉, 卓松, 徐晓龙. 基于卡尔曼滤波的多目标跟踪方法[J]. 计算机科学, 2018, 45(8): 253-257.
Zhao G H, Zhuo S, Xu X L Multi-object tracking algorithm based on Kalman filter[J]. Computer Science,2018,45(8): 253-257.