考虑碳势-电价联合响应机制的电力系统源-荷协同低碳经济调度

doi:10.3969/j.issn.2097-0706.2025.11.001

综合智慧能源 ›› 2025, Vol. 47 ›› Issue (11): 1-13.doi: 10.3969/j.issn.2097-0706.2025.11.001

• 灵活资源调控与协同优化 • 下一篇

考虑碳势-电价联合响应机制的电力系统源-荷协同低碳经济调度

苏炜琦¹(), 黄宇轩¹^,²(), 陈飞雄¹^,^*(), 邵振国¹(), 胡昆熹¹(), 吴鸿斌¹()

1.福州大学数字能源福建省高校重点实验室，福州 350108
2.国网福建省电力有限公司福州供电公司，福州 350000

收稿日期:2025-04-08 修回日期:2025-05-08 出版日期:2025-09-28
通讯作者: *陈飞雄（1990），男，副教授，博士，从事综合能源系统协同优化控制方面的研究，feixiongchen@yeah.net。
作者简介:苏炜琦（1999），男，硕士生，从事综合能源系统低碳优化控制方面的研究，904918012@qq.com；
黄宇轩（1998），男，博士生，从事电网弹性提升理论与方法等方面的研究，hyuxuan0123@163.com；
邵振国（1970），男，教授，博士生导师，博士，从事电网不确定性理论与方法、电能质量分析与治理、电力大数据理论与方法等方面的研究，shao.zg@fzu.edu.cn；
胡昆熹（2000），男，硕士生，从事配电网状态估计方面的研究，2864806873@qq.com；
吴鸿斌（2000），男，硕士生，从事综合能源系统不确定理论与方法等方面的研究，269613970@qq.com。
基金资助:
国家自然科学基金项目(52107080);福建省财政厅项目(83024147)

Low-carbon economic scheduling of source-load coordination in power systems considering joint response mechanism of carbon intensity and electricity price

SU Weiqi¹(), HUANG Yuxuan¹^,²(), CHEN Feixiong¹^,^*(), SHAO Zhenguo¹(), HU Kunxi¹(), WU Hongbin¹()

1. Key Laboratory of Energy Digitalization， Fuzhou University， Fuzhou 350108， China
2. Fuzhou Power Supply Company of State Grid Fujian Electric Power Company Limited， Fuzhou 350000， China

Received:2025-04-08 Revised:2025-05-08 Published:2025-09-28
Supported by:
Natural Science Foundation of China(52107080);Fujian Provincial Department of Finance(83024147)

摘要/Abstract

摘要：

如何平衡电力系统经济调度与低碳运行之间的矛盾并有效激发源-荷协同潜力，已成为当前电力系统优化领域的关键难题。为此，提出了一种考虑碳势-电价联合响应机制的源-荷协同低碳经济调度方法。分别阐述综合灵活运行方式下碳捕集电厂的低碳运行特性，以及需求响应的负荷调节原理，并分析二者在系统低碳运行方面的互补性，构建碳捕集电厂与需求响应的协同运行框架；通过碳排放流理论将部分碳责任分摊至负荷侧，提出碳势-电价联合响应模型，以提高负荷侧的降碳能力；以系统运行成本最小为目标，在阶梯碳交易机制的基础上，结合所提源-荷协同运行框架构建两阶段低碳经济调度模型，实现发电侧与负荷侧的协同优化；基于改进的IEEE 39节点系统的多场景对比分析表明，所提方法能够降低15%的系统碳排放，同时减少4%的综合运行成本，验证了所提方法在经济性与低碳性方面的协同优化效果。

关键词: 低碳经济调度, 碳排放流理论, 需求响应, 碳捕集电厂, 阶梯碳交易机制, 碳势-电价联合响应模型

Abstract:

Balancing economic scheduling and low-carbon operation in power systems while effectively leveraging the potential of source-load coordination is critical for current power system optimization. Then， a source-load coordinated low-carbon economic scheduling method considering carbon intensity-electricity price joint response mechanism was proposed. The low-carbon operational characteristics of carbon capture power plants under integrated flexible operation modes and the load regulation principles of demand response were elaborated. Additionally， their complementarity in low-carbon operation was analyzed， and a coordinated operational framework for carbon capture power plants and demand response was established. By allocating partial carbon responsibility to the load side using carbon emission flow theory， a carbon intensity-electricity price joint response model was proposed to enhance the carbon reduction capability of the load side. With the goal of minimizing system operating cost， based on the tiered carbon trading mechanism and combined with the proposed source-load coordinated operation framework， a two-stage low-carbon economic scheduling model was developed to achieve coordinated source-load optimization. Comparative analysis of multiple scenarios based on a modified IEEE 39-bus system demonstrated that the proposed method could reduce system carbon emissions by 15% and decrease comprehensive operating costs by 4%， validating its coordinated optimization in both economic and low-carbon performance.

Key words: low-carbon economic scheduling, carbon emission flow theory, demand response, carbon capture power plant, tiered carbon trading mechanism, carbon intensity-electricity price joint response model

中图分类号:

TK018：TM73

苏炜琦, 黄宇轩, 陈飞雄, 邵振国, 胡昆熹, 吴鸿斌. 考虑碳势-电价联合响应机制的电力系统源-荷协同低碳经济调度[J]. 综合智慧能源, 2025, 47(11): 1-13.

SU Weiqi, HUANG Yuxuan, CHEN Feixiong, SHAO Zhenguo, HU Kunxi, WU Hongbin. Low-carbon economic scheduling of source-load coordination in power systems considering joint response mechanism of carbon intensity and electricity price[J]. Integrated Intelligent Energy, 2025, 47(11): 1-13.

图/表 17

图1

图2

图3

图4

表1

图5

表2

表3

表4

碳捕集电厂参数

参数	数值	参数	数值
M_MEA/（g·mol^-1)	61.08	ρ_R/(g·mL^-1)	1.01
$M C O 2$ /(g·mol^-1)	44.00	V_L，_z/L	6 000×4
x_R/%	30	λ/[(MW·h)·t^-1]	0.269
η/%	120	β	0.9
θ/(mol·mol^-1)	30	δ	0.6

表4

表5

图6

表6

图7

图8

图9

图10

图11

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机组类型	机组编号	节点位置	GCI/ [t·(MW·h)^-1]
燃煤	G1	30	1.09
燃煤	G2	31	1.20
燃煤	G3	39	1.20
燃煤	G4	32	1.11
燃煤	G5	33	1.08
燃煤	G6	34	1.12
燃煤	G7	35	1.10
燃煤	G8	37	1.09
燃煤	G9	38	1.05
燃气	GT1	27	0.40
燃气	GT2	36	0.40

时段	高峰	平段	低谷
高峰	-0.100	0.016	0.012
平段	0.016	-0.100	0.010
低谷	0.012	0.010	-0.100

时段	划分
00:00 — 09:00, 22:00 —24:00	低谷
09:00 —11:00, 15:00 —17:00, 20:00 —22:00	平段
11:00 —15:00, 17:00 —20:00	高峰

调度结果	场景1	场景2	场景3	场景4	场景5	场景6
综合成本/万美元	177.310 0	257.340 0	250.780 0	248.180 0	247.670 0	246.960 0
碳交易成本/万美元	24.055 0	78.932 2	35.141 8	34.193 9	33.936 7	33.212 0
碳排量/t	118 480	98 164	90 425	84 004	83 788	83 407
弃风量/MW	4 968.1	1 038.4	394.5	334.9	150.5	0
弃风率/%	18.25	3.81	1.45	1.23	0.55	0

时段	电价
00:00 — 09:00, 22:00 —24:00	65.96
09:00 —11:00, 15:00 —17:00, 20:00 —22:00	69.32
11:00 —15:00, 17:00 —20:00	74.35

考虑碳势-电价联合响应机制的电力系统源-荷协同低碳经济调度

Low-carbon economic scheduling of source-load coordination in power systems considering joint response mechanism of carbon intensity and electricity price

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