摘要
30·60双碳目标的实现,要求可再生能源的大规模消纳,因此构建可大幅就地消纳可再生能源的综合能源系统具有重要意义.在此背景下,本文提出了一种基于合作博弈的综合能源系统运行优化方法,能够有效降低系统用能成本和碳排放,激励不同主体参与系统整体协调优化运行.本文在考虑系统运行成本和二氧化碳排放量的基础上,建立了综合能源系统合作博弈模型,采用改进的NSGA–II算法求解,大幅提高了算法的综合性能,并提出一种改进的Shapley值法对综合能源系统中各主体利益进行分配.通过算例进行仿真分析,结果证明文章提出的合作博弈模型能够有效降低系统总用能成本,同时减少了二氧化碳排放量,提出的利益分配方法有效可行.
The proposed 30·60 dual carbon target requires the large-scale consumption of renewable energy,so it is important to build the integrated energy system that can significantly consume renewable energy locally.In this context,a cooperative game-based operation optimization method for integrated energy systems is proposed,which can effectively reduce the total energy cost of the system and stimulate different actors to participate in the overall coordinated and optimized operation of the system.Based on the consideration of system operation cost and CO_(2) emission,the cooperative game model of integrated energy system is established,the improved NSGA–II algorithm is used to solve the model,which significantly improves the comprehensive performance of the algorithm,and an improved Shapley value method is proposed to allocate the benefits of each participant in the integrated energy system.The results prove that the cooperative game model proposed in this paper can effectively reduce the total energy cost of the system,minimize the energy cost of the system and reduce the CO_(2) emission at the same time,and the proposed benefit allocation method is effective and feasible.
作者
王永利
刘振
薛露
蔡成聪
刘琳
WANG Yong-li;LIU Zhen;XUE Lu;CAI Cheng-cong;LIU Lin(School of Economics and Management,North China Electric Power University,Beijing 102206,China)
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2022年第3期499-508,共10页
Control Theory & Applications
基金
北京市社会科学基金项目(18GLB034)
中央高校基本科研业务费专项资金项目(2019FR001)资助。
