
1. 广州城市理工学院 国际商学院,广东,广州,510800
2. 广东工业大学 自动化学院,广东,广州,510006
Published:2026
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戴思婷, 邓文扬, 张立锋, 等. 碳电市场耦合机制研究综述:模型分类、联动路径与挑战展望[J]. 南方能源建设, 2026, 13(4): 178-192.
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戴思婷, 邓文扬, 张立锋, 等. 碳电市场耦合机制研究综述:模型分类、联动路径与挑战展望[J]. 南方能源建设, 2026, 13(4): 178-192. DOI: 10.16516/j.ceec.2025-232.
. DOI: 10.16516/j.ceec.2025-232.
目的
在“双碳”目标持续推进与电力市场深度改革的背景下,碳排放权交易机制与电力市场之间的联动性已成为实现低碳能源系统建设的核心议题。由于碳电市场在运行节奏、边界结构与价格形成逻辑上的差异,碳价信号在电力市场中的传导路径尚不清晰,亟须开展系统研究以推动耦合机制建模与政策协同。
方法
以碳电市场协同为研究对象,从政策制度、调度机制、出清模型与信号反馈等维度出发,系统地梳理了碳电市场耦合的基本原理与研究框架,归纳出典型的建模思路,包括调度机制嵌套建模、边际成本函数构建、碳价驱动的优化策略与信号响应机制等内容。进一步评述了多目标优化、动态博弈机制与人工智能辅助建模等方法的适用性与演进趋势。
结果
研究显示,现有碳电耦合建模方法虽已在算法框架与系统表达上取得进展,但在建模边界一致性、时序适配、市场协调机制与碳金融联动等方面仍存在显著挑战。不同模型在应对碳价不确定性、响应市场动态行为、支撑区域协同调度等方面的能力差异明显,尚缺乏统一的系统性分析与适应性评价。
结论
未来可从一体化出清机制、多能系统协同建模、碳-电-金融联动机制与AI驱动的碳价预测与调控策略等方面拓展研究路径,推动构建高效、可控、透明的碳电协同机制体系,为实现绿色低碳转型提供理论支撑与实践工具。
Objective
Against the backdrop of the advancement of "dual-carbon" goals and deepening electricity market reforms
the interaction between carbon emission trading mechanisms and electricity markets has become a core issue for building a low-carbon energy system. However
due to differences in operating rhythms
boundary structu
res
and price-formation logics
the transmission pathways of carbon price signals in electricity markets remain unclear. Systematic research is urgently needed to advance the modeling of coupling mechanisms and policy coordination.
Method
Focusing on the coordination of carbon and electricity markets
the fundamental principles and analytical framework of carbon-electricity market coupling were systematically reviewed from the dimensions of policy institutions
dispatch mechanisms
market-clearing models
and feedback signals. Typical modeling approaches
including nested dispatch mechanism modeling
marginal cost function construction
carbon-price-driven optimization strategies
and signal-response mechanisms
were also summarized. Furthermore
the applicability and evolutionary trends of methods such as multi-objective optimization
dynamic game mechanisms
and AI-assisted modeling were critically assessed.
Result
The findings indicate that while existing carbon-electricity market coupling modeling methods have made progress in algorithmic frameworks and system representation
significant challenges remain in modeling boundary consistency
temporal adaptability
market coordination mechanisms
and carbon-finance linkages. Different models exhibit varying capacities in addressing carbon price uncertainty
responding to dynamic market behaviors
and supporting regional coordinated dispatch
but a unified systematic analysis and adaptability evaluation framework is still lacking.
Conclusion
Future research can be expanded in aspects including integrated market-clearing mechanisms
collaborative modeling of multi-energy systems
carbon-electricity-finance linkage mechanisms
and AI-driven carbon price forecasting and regulation strategies. These efforts will help establish an efficient
controllable
and transparent carbon-electricity coordination mechanism system
providing both theoretical support and practical tools for the green and low-carbon transition.
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