中国电力2025，Vol.58Issue(4)：44-55,12.DOI:10.11930/j.issn.1004-9649.202410025
基于多智能体强化学习的电-碳-绿证耦合市场下多市场主体行为研究
Multi-entity Behaviors in Electricity-Carbon-Green Certificate Coupled Markets Based on Multi-agent Reinforcement Learning
摘要
Abstract
Establishing a national carbon emission trading market and green certificate market is one of the key strategies for China to achieve its"dual carbon"goals.However,existing research predominantly analyzes the market coupling relationships from an economic perspective,overlooking the impact of power network physical constraints and the uncertainty of renewable energy output on the coordinated optimization of markets.Additionally,the scenario of power consumers participating in the carbon market has not been considered.To address this limitation,a bi-level optimization model for the coupled electricity-carbon-green certificate market based on physical network nodes is proposed to analyzes the behaviors of market entities and the changes in coupling mechanisms under the context of carbon market expansion.In the model,a decision-making mechanism is introduced for power consumers participating in the carbon market based on the physical topology of the power grid,and by incorporating the offset rules between green certificates and carbon allowances,the impact of transmission line congestion on the decision-making of market entities is explored.The actual output data of new energy units in the Mongolia region is used to verify the rationality and effectiveness of the proposed model.The results show that the participation of electricity users in the carbon market can significantly increase the overall returns of the coupled market,and line congestion has a significant impact on the behaviors of market entities and market revenues;in the context of abundant carbon quotas,introducing the carbon credit offset mechanism can further optimize the coupled market efficiency.关键词
碳排放权交易市场/绿证市场/耦合市场双层优化模型/多智能体强化学习/线路阻塞/碳证抵消机制Key words
carbon emission trading market/green certificate market/coupled market bi-level optimization model/multi-agent reinforcement learning/line congestion/carbon credit offset mechanism引用本文复制引用
周飞航,王灏,王海利,王萌,金耀杰,李重春,张忠德,王鹏..基于多智能体强化学习的电-碳-绿证耦合市场下多市场主体行为研究[J].中国电力,2025,58(4):44-55,12.基金项目
内蒙古电力交易中心科技项目(电碳市场耦合机理及内蒙古电力交易机制深化研究,DLJY-GKCG-2024-SCJYYB-0401-0013). This work is supported by Science&Technology Project of Inner Mongolia Power Exchange Center Co.,Ltd.(Research on the Coupling Mechanism of Electricity Carbon Market and the Deepening of Inner Mongolia Electricity Trading Mechanism,No.DLJY-GKCG-2024-SCJYYB-0401-0013). （电碳市场耦合机理及内蒙古电力交易机制深化研究,DLJY-GKCG-2024-SCJYYB-0401-0013）
