电网调度视角下碳交易与低碳评价关键技术研究

李建林; 耿子玉; 李雅欣; 姜晓霞; 韩雨辰

doi:10.19912/j.0254-0096.tynxb.2025-0394

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (7) : 703-715. DOI: 10.19912/j.0254-0096.tynxb.2025-0394

电网调度视角下碳交易与低碳评价关键技术研究

李建林¹, 耿子玉¹, 李雅欣¹, 姜晓霞², 韩雨辰²

作者信息 +

RESEARCH ON KEY TECHNOLOGIES OF CARBON TRADING AND LOW-CARBON EVALUATION FROM PERSPECTIVE OF POWER GRID DISPATCHING

Li Jianlin¹, Geng Ziyu¹, Li Yaxin¹, Jiang Xiaoxia², Han Yuchen²

Author information +

文章历史 +

摘要

针对电网调度中的碳交易问题,提出融合碳配额分配、交易协调、清洁能源消纳与监管核查为一体的综合优化框架,引入智能监测与区块链存证机制,实现多环节数据可靠交互与统一管理,从而提升电网企业的碳交易决策的有效性。建立发电侧与用户侧的碳排放测算模型,并综合分析发电侧排放因子法、物料平衡法与实测法,以及用户侧平均、分时、分区与动态碳排放因子法的适用差异来明确碳排放精准计量的技术路径。同时,构建涵盖清洁发电贡献度、弹性负荷分配率及绿色消费占比等指标的多维低碳评价体系,综合评估电网低碳水平。

Abstract

To address carbon trading issues in power grid dispatch, a comprehensive optimization framework is proposed that integrates carbon allowance allocation, trading coordination, renewable energy consumption, and regulatory verification. An intelligent monitoring system combined with a blockchain-based evidence storage mechanism is introduced to enable reliable data interaction and unified management across multiple processes, thereby improving the effectiveness of carbon trading decision-making for grid enterprises.Carbon emission accounting models are established for both the generation side and the user side. A comparative analysis is conducted on generation-side methods, including the emission factor method, material balance method, and direct measurement method, as well as user-side approaches such as average, time-of-use, regional, and dynamic carbon emission factor methods. This analysis clarifies the technical pathway for accurate carbon emission quantification. Furthermore, a multidimensional low-carbon evaluation system is constructed, incorporating indicators such as the contribution of clean power generation, the allocation ratio of flexible loads, and the proportion of green consumption, to comprehensively assess the low-carbon performance of the power grid.

导出引用

李建林, 耿子玉, 李雅欣, 姜晓霞, 韩雨辰. 电网调度视角下碳交易与低碳评价关键技术研究[J]. 太阳能学报. 2026, 47(7): 703-715 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0394

Li Jianlin, Geng Ziyu, Li Yaxin, Jiang Xiaoxia, Han Yuchen. RESEARCH ON KEY TECHNOLOGIES OF CARBON TRADING AND LOW-CARBON EVALUATION FROM PERSPECTIVE OF POWER GRID DISPATCHING[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 703-715 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0394

中图分类号： TM734

参考文献

[1] 张希良, 张达, 余润心. 中国特色全国碳市场设计理论与实践[J]. 管理世界, 2021, 37(8): 80-94.
Zhang X L, Zhang D, Yu R X.Theory and practice of China's national carbon emissions trading system[J]. Journal of Management World, 2021, 37(8): 80-94.
[2] 许改云. 碳中和理念下暖通空调设计中存在的问题分析[J]. 能源与节能, 2022(12): 129-131, 135.
Xu G Y.Problems in HVAC design under concept of carbon neutrality[J]. Energy and Energy Conservation, 2022(12): 129-131, 135.
[3] 谢伟, 唐卓. 考虑源荷不确定性和碳交易的虚拟电厂经济调度[J]. 机电信息, 2024(6): 6-9.
Xie W, Tang Z.Economic dispatch of virtual power plant considering source-load uncertainty and carbon trading[J]. Mechanical and Electrical Information, 2024(6): 6-9.
[4] Yan N, Ma G C, Li X J, et al.Low-carbon economic dispatch method for integrated energy system considering seasonal carbon flow dynamic balance[J]. IEEE Transactions on Sustainable Energy, 2023, 14(1): 576-586.
[5] 王大鑫, 张倩, 郑诗程, 等. 考虑碳排放流和阶梯式碳交易的配电网优化调度[J]. 可再生能源, 2024, 42(12): 1661-1670.
Wang D X, Zhang Q, Zheng S C, et al.Optimization scheduling of distribution networks considering carbon emission flow and staged carbon trading[J]. Renewable Energy Resources, 2024, 42(12): 1661-1670.
[6] 王利猛, 刘永宁, 许成哲. 考虑碳交易机制的源-荷-储协整优化模型[J]. 太阳能学报, 2023, 44(5): 106-112.
Wang L M, Liu Y N, Xu C Z.Source-load-storage cointegration optimization model considering carbon trading mechanism[J]. Acta Energiae Solaris Sinica, 2023, 44(5): 106-112.
[7] 华昊辰, 吴浩星, 陈星莺, 等. 考虑用能经济性与用户满意度灵活协同的综合能源系统双层优化[J]. 电网技术, 2024, 48(10): 4174-4184.
Hua H C, Wu H X, Chen X Y, et al.Double-layer optimization of integrated energy systems considering flexible collaboration between energy economy and user satisfaction[J]. Power System Technology, 2024, 48(10): 4174-4184.
[8] 袁世琦, 潘鹏程, 魏业文, 等. 园区综合能源系统低碳经济优化调度模型研究[J]. 太阳能学报, 2024, 45(3): 347-356.
Yuan S Q, Pan P C, Wei Y W, et al.Study on low-carbon economic optimal scheduling model of community integrated energy system[J]. Acta Energiae Solaris Sinica, 2024, 45(3): 347-356.
[9] 袁桂丽, 刘培德, 唐福斌, 等. 计及绿色电力证书与碳交易制度的 “源-荷” 协调优化调度[J]. 太阳能学报, 2022, 43(6): 190-195.
Yuan G L, Liu P D, Tang F B, et al.Source-load coordination optimal scheduling considering green power certificate and carbon trading mechanisms[J]. Acta Energiae Solaris Sinica, 2022, 43(6): 190-195.
[10] 邹昊飞, 张建红, 魏亿钢. “电-碳-证”市场协同联动机制探索[J]. 环境经济, 2023(19): 48-53.
Zou H F, Zhang J H, Wei Y G.Exploration of “electricity-carbon-securities” market collaborative linkage mechanism[J]. Environmental economy, 2023(19): 48-53.
[11] 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.
[12] 吴杏平, 康重庆, 袁启恒. 中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.
[13] 张志迪. 探析火力发电厂碳排放测算方法和减排方法[J]. 中国设备工程, 2024(12): 220-222.
Zhang Z D.Analysis on the calculation method of carbon emission and emission reduction method of thermal power plant[J]. China Plant Engineering, 2024(12): 220-222.
[14] 周全, 冯冬涵, 徐长宝, 等. 负荷侧碳排放责任直接分摊方法的比较研究[J]. 电力系统自动化, 2015, 39(17): 153-159.
Zhou Q, Feng D H, Xu C B, et al.Methods for allocating carbon obligation in demand side: a comparative study[J]. Automation of Electric Power Systems, 2015, 39(17): 153-159.
[15] 梁宁, 缪猛, 徐慧慧, 等. 考虑绿证-碳交易机制的综合能源系统双层优化调度[J]. 太阳能学报, 2024, 45(7): 312-322.
Liang N, Miao M, Xu H H, et al.Bi-level optimal scheduling of integrated energy system considering green certificates-carbon emission trading mechanism[J]. Acta Energiae Solaris Sinica, 2024, 45(7): 312-322.
[16] 张天培. “电-能-碳”模型的构建与碳排放测算: 以江苏为例[J]. 现代管理科学, 2025(1): 13-23.
Zhang T P.Construction of “electricity-energy-carbon” model and calculation of carbon emissions: taking Jiangsu as an example[J]. Modern Management Science, 2025(1): 13-23.
[17] Shen L, Dou X B, Long H, et al.A cloud-edge cooperative dispatching method for distribution networks considering photovoltaic generation uncertainty[J]. Journal of Modern Power Systems and Clean Energy, 2021, 9(5): 1111-1120.
[18] He B H, Zhao H, Liang G Q, et al.Ensemble-based Deep Reinforcement Learning for robust cooperative wind farm control[J]. International Journal of Electrical Power & Energy Systems, 2022, 143: 108406.
[19] Gao W L, Liang S Y, Wang R J, et al.Industrial carbon dioxide capture and utilization: state of the art and future challenges[J]. Chemical Society Reviews, 2020, 49(23): 8584-8686.
[20] Yang C, He B H, Liao H X, et al.Price-based low-carbon demand response considering the conduction of carbon emission costs in smart grids[J]. Frontiers in Energy Research, 2022, 10: 959786.
[21] Ruan J Q, Liang G Q, Zhao J H, et al.Graph deep-learning-based retail dynamic pricing for demand response[J]. IEEE Transactions on Smart Grid, 2023, 14(6): 4385-4397.
[22] 孙岩. 新型配电系统评价指标体系及应用[J]. 黑龙江电力, 2024, 46(6): 491-494, 500.
Sun Y.Evaluation index system and application of new power distribution system[J]. Heilongjiang Electric Power, 2024, 46(6): 491-494, 500.
[23] 齐士杰. 低碳经济下的配电网综合评估[D]. 北京: 华北电力大学, 2019.
Qi S J.Comprehensive evaluation of distribution network under low-carbon economy[D]. Beijing: North China Electric Power University, 2019.
[24] 黄震, 宋璇坤, 刘思革, 等. 电网智能化发展评价指标体系及关键指标研究[J]. 供用电, 2016, 33(2): 43-47, 42.
Huang Z, Song X K, LIU S G, et al.Study on the evaluation index system and the key indexes of grid intelligence development[J]. Distribution & Utilization, 2016, 33(2): 43-47, 42.
[25] 郭创新, 刘祝平, 冯斌, 等. 新型电力系统风险评估研究现状及展望[J]. 高电压技术, 2022, 48(9): 3394-3404.
GUO C X, LIU Z P, FENG B, et al.Research status and prospect of new-type power system risk assessment[J]. High Voltage Engineering, 2022, 48(9): 3394-3404.
[26] 赵璞, 周满, 高建宇, 等. 基于电能替代的园区综合能源规划评价方法[J]. 中国电力, 2021, 54(4): 130-140.
Zhao P, Zhou M, Gao J Y, et al.Evaluation method for park-level integrated energy system based on electric power substitution[J]. Electric Power, 2021, 54(4): 130-140.
[27] 张洪秩. 基于可计算一般均衡模型的绿证交易制度影响研究[D]. 北京: 华北电力大学, 2018.
Zhang H Z.The research on the impact of TGC policy in China: a CGE analysis[D]. Beijing: North China Electric Power University, 2018.
[28] 李强, 吕南. 国内外低碳经济评价体系研究述评[J]. 现代物业(中旬刊), 2012(6): 12-14.
Li Q, Lyu N.A review of domestic and foreign research on evaluation system of low-carbon economy indexes[J]. Modern Property Management, 2012(6): 12-14.
[29] 别佩, 林少华, 王宁, 等. 基于电力潮流追踪与绿色电力交易的企业用电侧碳排放因子核算[J]. 南方电网技术, 2023, 17(6): 34-43.
Bie P, Lin S H, Wang N, et al.Calculation of carbon emission factors on the corporate electricity consumption side based on power flow tracing and green power trading[J]. Southern Power System Technology, 2023, 17(6): 34-43.
[30] 王霂晗. 火电厂碳排放监测体系与核算方法的研究[D]. 南京: 南京信息工程大学, 2020.
Wang M H.Research on carbon emission monitoring system and accounting method of thermal power plant[D]. Nanjing: Nanjing University of Information Science & Technology, 2020.
[31] Ye J C, Zhang H B, Huang H, et al.A low-carbon evaluation framework for regional power systems[J]. Frontiers in Energy Research, 2024, 12: 1366682.