中国电力 ›› 2025, Vol. 58 ›› Issue (8): 109-117.DOI: 10.11930/j.issn.1004-9649.202410082
收稿日期:
2024-10-25
发布日期:
2025-08-26
出版日期:
2025-08-28
作者简介:
基金资助:
CHEN Yongquan(), YANG Wanjia(
), WANG Mengyu(
), LI Jialin(
)
Received:
2024-10-25
Online:
2025-08-26
Published:
2025-08-28
Supported by:
摘要:
为实现“双碳”目标,研究市场扩容背景下火力发电商在绿证市场、碳市场与中国核证自愿减排量(chinese certified emission reduction,CCER)市场下的多主体交易协同效应。构建火力发电商在多市场联合下的交易框架,并基于多主体非合作博弈模型分析市场扩容下的控排企业协同作用及减排影响,采用经验模态分解(empirical mode decomposition,EMD)结合支持向量机(support vector machine,SVM)模型预测碳排放权交易量,为博弈模型提供关键参数支持。研究结果表明,火电行业通过灵活策略占据主导地位,而钢铁和水泥行业则更多依赖碳排放权交易和CCER履约,不同行业在市场中的表现存在差异,碳市场的扩容、绿证与CCER的联合有效缓解了碳市场压力。
陈永权, 杨万佳, 王梦玉, 李佳霖. 绿证-碳-CCER市场交易主体协同效应[J]. 中国电力, 2025, 58(8): 109-117.
CHEN Yongquan, YANG Wanjia, WANG Mengyu, LI Jialin. Synergistic Effect of Green Certificate-Carbon-CCER Market Trading Subjects[J]. Electric Power, 2025, 58(8): 109-117.
模型 | RMSE | MAE | ||
EMD-SVM | ||||
SVM | ||||
ARIMA |
表 1 模型性能对比
Table 1 Model performance comparison 单位:t
模型 | RMSE | MAE | ||
EMD-SVM | ||||
SVM | ||||
ARIMA |
碳排放因子/ (tCO2·(MW·h)–1) | 技术水平/ (MW·h) | 碳配额 系数 | 成本下限/ 元 | 成本上限/ 元 | ||||||
电力 | 250 | 400 | ||||||||
钢铁 | 2000 | |||||||||
水泥 | 300 | 400 |
表 2 参数设定
Table 2 Parameter setting
碳排放因子/ (tCO2·(MW·h)–1) | 技术水平/ (MW·h) | 碳配额 系数 | 成本下限/ 元 | 成本上限/ 元 | ||||||
电力 | 250 | 400 | ||||||||
钢铁 | 2000 | |||||||||
水泥 | 300 | 400 |
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