陈勇,芮俊,肖雷鸣,邓超
CHEN Yong,RUI Jun,XIAO Leiming,DENG Chao

• 1:杭州市电力设计院有限公司余杭分公司
• 2:杭州电子科技大学自动化学院

摘要(Abstract)：

为完善发展碳交易机制中多主体之间的利益互动关系，提出一种以碳交易JMO（联合市场运营商）为领导者、多主体IES（综合能源系统）为跟随者的主从博弈方法，实现不同IES的低碳经济运行。首先，在碳排放阶梯惩罚机制下对各利益主体IES运行效益进行建模分析，提出IES低碳排和低成本双重模式可选的运行策略。其次，基于动态非合作Stackelberg博弈优化框架，根据各利益主体的运行模式，建立多主体参与的碳交易模型。最后，分别采用自适应差分进化算法和Gurobi求解器对主从博弈决策模型进行求解。算例分析结果表明，该碳交易机制可有效实现IES运行的低碳性和经济性。
To enhance the interaction among multiple agents in carbon trading mechanisms, a leader-follower game method is proposed, with carbon trading JMO(joint market operator) as the leader and multiple IES(integrated energy systems) as followers. This method aims to achieve low-carbon economic operation for different IES. Firstly, under the tiered penalty mechanism for carbon emission, the operational benefits of various agents' IES are modeled and analyzed. A dual-mode operation strategy for IES, which includes options for low carbon emission and low cost, is proposed. Secondly, based on the dynamic non-cooperative Stackelberg game optimization framework, a carbon trading model involving multiple agents is established according to the operational modes of each agent. Finally, the decision-making model of the leader-follower game is solved using both adaptive differential evolution(DE) algorithm and the Gurobi optimizer. Case analysis results demonstrate that this carbon trading mechanism can effectively achieve both low-carbon and economic operation for IES.

关键词(KeyWords)： 低碳;综合能源系统;碳排放;碳交易;动态非合作Stackelberg博弈
low carbon;IES;carbon emission;carbon trading;dynamic non-cooperative Stackelberg game

Abstract:

Keywords:

基金项目(Foundation): 浙江大有集团有限公司科技项目（DY2022-22）;; 浙江省科技计划项目（2024C01018）

作者(Author): 陈勇,芮俊,肖雷鸣,邓超
CHEN Yong,RUI Jun,XIAO Leiming,DENG Chao

DOI: 10.19585/j.zjdl.202404006

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