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成涛等:计及未上网电量的多层级碳排放因子修正方法 2026 年第 3 期
了显著的下降趋势,有助于促进清洁能源就地消纳。 LI Yan, ZHAO Xin, XUE Wanlei, et al. A forecasting method for
3)所提方法有效避免了复杂的拓扑网络计算, provincial-level energy supply and demand under carbon quota
将实际电网分层分级处理,具备较强的可行性。 constraint[J]. Electric Power, 2025, 58(5): 52–61.
[9] 湛国华, 张先勇, 魏圣莹, 等. 基于 T-Graphormer 的电网碳排放因
参考文献: 子预测方法 [J]. 综合智慧能源, 2025, 47(6): 30–36.
ZHAN Guohua, ZHANG Xianyong, WEI Shengying, et al. A
[1] 赵彤, 李雪松, 周浩, 等. 基于动态碳排放强度的电碳市场耦合建模 prediction method for power grid carbon emission factor based on T-
方法及市场优化机制分析 [J]. 中国电力, 2025, 58(4): 31–43. Graphormer[J]. Integrated Intelligent Energy, 2025, 47(6): 30–36.
[10] 宋金伟, 杨维, 周春雷, 等. 跨电网的区域电力碳排放因子分布式计
ZHAO Tong, LI Xuesong, ZHOU Hao, et al. Electricity carbon
算方法 [J]. 电力系统自动化, 2025, 49(18): 25–32.
coupled market modeling method and market optimization
mechanism based on dynamic carbon emission intensity[J]. Electric SONG Jinwei, YANG Wei, ZHOU Chunlei, et al. Distributed
calculation method for regional power carbon emission factors across
Power, 2025, 58(4): 31–43.
[2] 张金良, 潘敏, 庄颖. 基于合作电碳交易的多园区综合能源系统两 power grids[J]. Automation of Electric Power Systems, 2025, 49(18):
阶段优化调度方法 [J]. 智慧电力, 2025, 53(8): 29–36. 25–32.
ZHANG Jinliang, PAN Min, ZHUANG Ying. A two-stage optimal [11] 何耿生, 曾金灿, 朱浩骏, 等. 电网平均碳排放因子统计核算方法综
述 [J]. 环境影响评价, 2024, 46(4): 64–70.
scheduling approach for multi-park integrated energy systems based
on cooperative electricity and carbon trading[J]. Smart Power, 2025, HE Gengsheng, ZENG Jincan, ZHU Haojun, et al. Summary of
53(8): 29–36. statistical accounting methods for average carbon emission factors of
[3] 王佳颖, 陆春光, 欧阳欣愉, 等. 碳排放监测方法的理论综述与工业 power grid[J]. Environmental Impact Assessment, 2024, 46(4):
实践 [J]. 浙江电力, 2025, 44(5): 76–89. 64–70.
WANG Jiaying, LU Chunguang, OUYANG Xinyu, et al. A [12] 李保卫, 胡泽春, 宋永华, 等. 电力碳排放区域分摊的原则与模
theoretical review and industrial practice of carbon emission 型 [J]. 电网技术, 2012, 36(7): 12–18.
monitoring methods[J]. Zhejiang Electric Power, 2025, 44(5): 76–89. LI Baowei, HU Zechun, SONG Yonghua, et al. Principle and model
[4] 叶幸, 邱辰, 艾琳, 等. “双碳”目标下可再生能源绿证与碳交易衔 for regional allocation of carbon emission from electricity sector[J].
接机制的思考 [J]. 综合智慧能源, 2025, 47(5): 12–20. Power System Technology, 2012, 36(7): 12–18.
YE Xing, QIU Chen, AI Lin, et al. Connection mechanism between [13] 王长波, 胡志伟, 周德群. 中国居民消费间接 CO 2 排放核算及其关
green certificates and carbon trading mechanism under the "double 键减排路径 [J]. 北京理工大学学报 (社会科学版), 2022, 24(3):
carbon" target[J]. Integrated Intelligent Energy, 2025, 47(5): 12–20. 15–27.
[5] 冯天天, 李晏, 孙晓琪, 等. 大数据驱动下电-碳市场耦合及协同发 WANG Changbo, HU Zhiwei, ZHOU Dequn. Indirect CO 2 emissions
展研究综述 [J]. 智慧电力, 2024, 52(1): 55–64. from household consumption in China: quantification and key
FENG Tiantian, LI Yan, SUN Xiaoqi, et al. Review on electricity- emission reduction path analysis[J]. Journal of Beijing Institute of
carbon market coupling and synergistic development driven by big Technology (Social Sciences Edition), 2022, 24(3): 15–27.
data[J]. Smart Power, 2024, 52(1): 55–64. [14] 周曙东, 赵明正, 王传星, 等. 基于二次能源省际调配的中国分省
[6] 林正根. 2024 年中国可再生能源发展状况 [J]. 电力科技与环保, CO 2 排放量计算 [J]. 中国人口·资源与环境, 2012, 22(6): 69–75.
2025, 41(4): 691. ZHOU Shudong, ZHAO Mingzheng, WANG Chuanxing, et al.
[7] 郭森, 段啸贤, 赵浩然. 绿色转型背景下新质生产力对人均电力碳 Calculation of carbon dioxide emissions considering secondary
排放的影响研究 [J]. 智慧电力, 2025, 53(6): 1–9. energy deployment among provinces in China[J]. China Population,
GUO Sen, DUAN Xiaoxian, ZHAO Haoran. Research on impact of Resources and Environment, 2012, 22(6): 69–75.
new quality productive forces on per capita electricity carbon [15] 吴静, 刘轩宇, 李响, 等. 考虑网损的电力系统节点边际碳势理论研
emissions under green transition context[J]. Smart Power, 2025, 究与建模 [J]. 中国电力, 2024, 57(6): 215–224.
53(6): 1–9. WU Jing, LIU Xuanyu, LI Xiang, et al. Research and modelling of
[8] 厉艳, 赵昕, 薛万磊, 等. 碳配额约束下省级能源供需预测方法研 bus marginal carbon intensity for power systems considering network
究 [J]. 中国电力, 2025, 58(5): 52–61. losses[J]. Electric Power, 2024, 57(6): 215–224.
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