电力工程技术2025，Vol.44Issue(3)：120-130,11.DOI:10.12158/j.2096-3203.2025.03.011
考虑多主体碳交易成本分摊的综合能源系统低碳经济调度
Low-carbon economic dispatch of an integrated energy system considering carbon trading cost-sharing among multiple principals
摘要
Abstract
In response to the difficulties in carbon trading cost-sharing and the insufficient motivation for emission reduction in the integrated energy system under the dual-carbon targets,a low-carbon economic scheduling strategy based on a multi-principal carbon trading cost-sharing mechanism is proposed.Firstly,a multi-principal carbon trading cost-sharing model is designed,considering the flexible adjustment and response mechanisms on both the source and load sides.Secondly,a master-slave game low-carbon economic dispatch model is constructed,with the energy seller as the leader and the energy supplier and load aggregator as followers.The leader formulates dynamic time-sharing carbon prices to guide the energy supplier in optimizing equipment output strategies and the load aggregator in adjusting energy consumption strategies.Finally,several scenarios are compared and analyzed through simulation experiments.Results demonstrate that,compared with the average of three mechanisms where a single subject bears the carbon trading cost,the proposed multi-principal carbon trading cost sharing mechanism increases the system's overall total benefit by 3.71%,reduces total costs by 11.97%,cuts carbon trading costs by 21.06%,and decreases total carbon emissions by 19%.This model effectively realizes the sharing of carbon trading costs among multiple subjects,promotes cooperation in emission reduction among all parties,and achieves a win-win situation in economic and environmental benefits.关键词
综合能源系统/多主体/主从博弈/碳交易成本分摊/动态分时碳价/低碳经济调度Key words
integrated energy system/multiple principals/master-slave game/carbon trading cost-sharing/dynamic time-of-day carbon price/low-carbon economic dispatch分类
信息技术与安全科学引用本文复制引用
黄松涛,董金星,赵雪楠,韩佳昆,杨奎亮,刘俊杰..考虑多主体碳交易成本分摊的综合能源系统低碳经济调度[J].电力工程技术,2025,44(3):120-130,11.基金项目
国家自然科学基金资助项目(62203331) （62203331）
