With the rapid growing of EVs and increasing power loads,the integrated energy systems(IES)in practical operations are facing challenges in balancing safety and economic efficiency,along with the rise of unexpected en...With the rapid growing of EVs and increasing power loads,the integrated energy systems(IES)in practical operations are facing challenges in balancing safety and economic efficiency,along with the rise of unexpected energy usage plans by users.To address these issues,this research proposes a three-layer game-based multi-objective optimization strategy for IES.First,safety performance indexes of the in-tegrated energy network are established using graph theory and the Wiener process.Then,a non-cooperative-Stackelberg-cooperative game framework is constructed,which optimizes safety and eco-nomic indexes while allowing lower-level users to cooperate to maximize their own benefits.Further-more,considering Unexpected Load Deviations(ULDs)during actual operations,a flexible resource margin adjustment-based Adaptive Optimal Strategy and Information Gap Decision Theory(AOS-IGDT)strategy is proposed and embedded in the second stage of rolling optimization.Finally,the proposed strategy is verified using the coupled IEEE 33-bus system and a 17-node thermal network,the results demonstrate its effectiveness in achieving a win-win outcome for system economic and safety perfor-mance while reducing the ULDs and improving the benefits of all stakeholders.展开更多
基金supported by the Key Laboratory of Smart Grid in Shaanxi Province.
文摘With the rapid growing of EVs and increasing power loads,the integrated energy systems(IES)in practical operations are facing challenges in balancing safety and economic efficiency,along with the rise of unexpected energy usage plans by users.To address these issues,this research proposes a three-layer game-based multi-objective optimization strategy for IES.First,safety performance indexes of the in-tegrated energy network are established using graph theory and the Wiener process.Then,a non-cooperative-Stackelberg-cooperative game framework is constructed,which optimizes safety and eco-nomic indexes while allowing lower-level users to cooperate to maximize their own benefits.Further-more,considering Unexpected Load Deviations(ULDs)during actual operations,a flexible resource margin adjustment-based Adaptive Optimal Strategy and Information Gap Decision Theory(AOS-IGDT)strategy is proposed and embedded in the second stage of rolling optimization.Finally,the proposed strategy is verified using the coupled IEEE 33-bus system and a 17-node thermal network,the results demonstrate its effectiveness in achieving a win-win outcome for system economic and safety perfor-mance while reducing the ULDs and improving the benefits of all stakeholders.
