首页|Hierarchical Game Approach for Optimization of Regional Integrated Energy System Clusters Considering Bounded Rationality
Hierarchical Game Approach for Optimization of Regional Integrated Energy System Clusters Considering Bounded Rationality
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
维普
万方数据
Regional integrated energy system(RIES)cluster,i.e.,multi-source integration and multi-region coordination,is an effective approach for increasing energy utilization efficiency.The hierarchical architecture and limited information sharing of RIES cluster make it difficult for traditional game theory to accurately describe their game behavior.Thus,a hierarchical game approach considering bounded rationality is proposed in this paper to balance the interests of optimizing RIES cluster under privacy protection.A Stackelberg game with the cluster operator(CO)as the leader and multiple RIES as followers is developed to simultaneously optimize leader benefit and RIES utilization efficiency.Concurrently,a slight altruistic function is introduced to simulate the game behavior of each RIES agent on whether to cooperate or not.By introducing an evolutionary game based on bounded rationality in the lower layer,the flaw of the assumption that participants are completely rational can be avoided.Specially,for autonomous optimal dispatching,each RIES is treated as a prosumer,flexibly switching its market participation role to achieve cluster coordination optimization.Case studies on a RIES cluster verify effectiveness of the proposed approach.
Bounded rationalitycoordinated optimizationevolutionary gameregional integrated energy systemstackelberg game
Lei Dong、Mengting Li、Junjie Hu、Sheng Chen、Tao Zhang、Xinying Wang、Tianjiao Pu
展开 >
school of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China
department of Artificial Intelligence Application Research,China Electric Power Research Institute,Beijing 100192,China
Key Laboratory of Smart Grid of Ministry of Education,Key Laboratory of Smart Energy & Information Technology of Tianjin Municipality,Tianjin University,Tianjin 300072,China
National Key R&D ProgramNational Natural Science Foundation of China
维普
万方数据
