浙江电力2024，Vol.43Issue(4)：51-62,12.DOI:10.19585/j.zjdl.202404006
基于动态主从博弈模型的综合能源系统碳交易方法
A carbon trading method for integrated energy systems based on a dynamic master-slave game model
摘要
Abstract
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 en-ergy systems)as followers.This method aims to achieve low-carbon economic operation for different IES.Firstly,un-der 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)algo-rithm 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
低碳/综合能源系统/碳排放/碳交易/动态非合作Stackelberg博弈Key words
low carbon/IES/carbon emission/carbon trading/dynamic non-cooperative Stackelberg game引用本文复制引用
陈勇,芮俊,肖雷鸣,邓超..基于动态主从博弈模型的综合能源系统碳交易方法[J].浙江电力,2024,43(4):51-62,12.基金项目
浙江大有集团有限公司科技项目(DY2022-22) （DY2022-22）
浙江省科技计划项目(2024C01018) （2024C01018）
