中国电力 ›› 2025, Vol. 58 ›› Issue (4): 31-43.DOI: 10.11930/j.issn.1004-9649.202409061
• 电-碳协同下分布式能源系统运营关键技术 • 上一篇 下一篇
赵彤1(), 李雪松1(
), 周浩1, 丁羽1, 杨斌1, 王文涛2(
), 王鹏2(
)
收稿日期:
2024-09-18
录用日期:
2024-12-17
发布日期:
2025-04-23
出版日期:
2025-04-28
作者简介:
基金资助:
ZHAO Tong1(), LI Xuesong1(
), ZHOU Hao1, DING Yu1, YANG Bin1, WANG Wentao2(
), WANG Peng2(
)
Received:
2024-09-18
Accepted:
2024-12-17
Online:
2025-04-23
Published:
2025-04-28
Supported by:
摘要:
由于碳市场与电力市场交易的时序差异,电力市场与碳市场耦合模型的建模和仿真面临准确度不足的问题。通过对实际工况的分析发现,火电机组碳排放强度随机组负荷率而波动,为电碳市场实时耦合和精确化建模提供了研究基础。为此,建立了考虑差异化动态碳排放特性的多发电企业博弈的电力市场和碳市场双层均衡仿真模型,其中上层为发电企业决策模型,下层为电力市场和碳市场交易模型,并提出了一种结合其他行业互动的低碳优化机制,以进一步增强电力市场的协同效应。为求解该模型,提出了一种基于马尔科夫决策迭代的协同优化算法。基于IEEE 39节点的算例分析表明,动态碳排放强度模型能够体现电碳市场的实时耦合,在电碳市场中采用低碳优化机制使系统进一步降低5.42%的碳排放量,使其他行业经济流入电力行业4.79万元,提高了电力市场的经济效益和环境效益。
赵彤, 李雪松, 周浩, 丁羽, 杨斌, 王文涛, 王鹏. 基于动态碳排放强度的电碳市场耦合建模方法及市场优化机制分析[J]. 中国电力, 2025, 58(4): 31-43.
ZHAO Tong, LI Xuesong, ZHOU Hao, DING Yu, YANG Bin, WANG Wentao, WANG Peng. Electricity Carbon Coupled Market Modeling Method and Market Optimization Mechanism Based on Dynamic Carbon Emission Intensity[J]. Electric Power, 2025, 58(4): 31-43.
企业 编号 | 机组 类型 | 排放强度线性因子/ ( t·(MW·h)–2) | 排放强度常数项/ ( t·(MW·h)–1) | |||
1 | 燃煤 | –0.254 | 0.982 | |||
2 | 燃煤 | –0.254 | 0.982 | |||
3 | 燃煤 | –0.311 | 1.086 | |||
4 | 燃煤 | –0.157 | 0.816 | |||
5 | 燃气 | –0.802 | 0.680 | |||
6 | 燃气 | –0.233 | 0.331 |
表 1 各机组的碳排放强度参数
Table 1 Parameters of carbon emission intensity for units
企业 编号 | 机组 类型 | 排放强度线性因子/ ( t·(MW·h)–2) | 排放强度常数项/ ( t·(MW·h)–1) | |||
1 | 燃煤 | –0.254 | 0.982 | |||
2 | 燃煤 | –0.254 | 0.982 | |||
3 | 燃煤 | –0.311 | 1.086 | |||
4 | 燃煤 | –0.157 | 0.816 | |||
5 | 燃气 | –0.802 | 0.680 | |||
6 | 燃气 | –0.233 | 0.331 |
类型 | 情景1 | 情景2 | 情景3 | |||
发电侧收入/万元 | 153.01 | 145.42 | 145.42 | |||
用户侧支出/万元 | 380.03 | 390.73 | 390.73 |
表 2 不同情景下的收入与支出
Table 2 Income and expenditure under different scenarios
类型 | 情景1 | 情景2 | 情景3 | |||
发电侧收入/万元 | 153.01 | 145.42 | 145.42 | |||
用户侧支出/万元 | 380.03 | 390.73 | 390.73 |
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