现代电子技术2025，Vol.48Issue(10)：157-166,10.DOI:10.16652/j.issn.1004-373x.2025.10.025
考虑双重补偿需求响应和碳交易的多综合能源系统低碳优化调度
Multi-integrated energy systems low-carbon optimal scheduling considering dual compensation demand response and carbon trading
摘要
Abstract
In order to improve the energy utilization rate of the integrated energy system and realize the low-carbon economic operation of the system,a hybrid game optimization scheduling method for multi-park integrated energy system considering carbon trading and dual compensation demand response is proposed to improve the energy cooperative management among multi-park systems under the same distribution network.A hybrid game optimization model with the system operator as the leader and the multi-park integrated energy system alliance as the follower is constructed.With the goal of maximizing their own benefits,the system operator can establish the electricity price to guide the optimal operation of the multi-park integrated energy system alliance.Taking maximizing self-benefits as the goal,the park integrated energy system(PIES)can conduct the energy cooperation and sharing according to the decision-making of the system operator.According to the different comprehensive contribution ability of each PIES in the cooperation,asymmetric Nash negotiation is used to distribute the cooperation income.The model is solved by means of dichotomou method and alternating direction multiplier method.The example simulation verify results show that the proposed strategy can effectively coordinate the energy scheduling between systems,maximize the low-carbon economic benefits of the system alliance,and ensure the reasonable distribution of cooperation benefits among alliance members.关键词
园区综合能源系统/需求响应/碳交易/低碳优化/混合博弈/能源协同管理/非对称纳什谈判Key words
park integrated energy system/demand response/carbon trading/low-carbon optimization/mixed game/energy collaborative management/asymmetric Nash negotiation分类
信息技术与安全科学引用本文复制引用
魏业文,刘霁欧,顾佳,吕荣胜..考虑双重补偿需求响应和碳交易的多综合能源系统低碳优化调度[J].现代电子技术,2025,48(10):157-166,10.基金项目
国家自然科学基金面上项目资助(52377191) （52377191）
