全球能源互联网（英文）2023，Vol.6Issue(4)：389-402,14.DOI:10.1016/j.gloei.2023.08.002
基于Stackelberg主从博弈综合能源系统双层低碳优化策略研究
Research on the bi-layer low carbon optimization strategy of integrated energy system based on Stackelberg master slave game
摘要
Abstract
With increasing reforms related to integrated energy systems(IESs),each energy subsystem,as a participant based on bounded rationality,significantly influences the optimal scheduling of the entire IES through mutual learning and imitation.A reasonable multiagent joint operation strategy can help this system meet its low-carbon objectives.This paper proposes a bilayer low-carbon optimal operational strategy for an IES based on the Stackelberg master-slave game and multiagent joint operation.The studied IES includes cogeneration,power-to-gas,and carbon capture systems.Based on the Stackelberg master-slave game theory,sellers are used as leaders in the upper layer to set the prices of electricity and heat,while energy producers,energy storage providers,and load aggregators are used as followers in the lower layer to adjust the operational strategy of the system.An IES bilayer optimization model based on the Stackelberg master-slave game was developed.Finally,the Karush-Kuhn-Tucker(KKT)condition and linear relaxation technology are used to convert the bilayer game model to a single layer.CPLEX,which is a mathematical program solver,is used to solve the equilibrium problem and the carbon emission trading cost of the system when the benefits of each subject reach maximum and to analyze the impact of different carbon emission trading prices and growth rates on the operational strategy of the system.As an experimental demonstration,we simulated an IES coupled with an IEEE 39-node electrical grid system,a six-node heat network system,and a six-node gas network system.The simulation results confirm the effectiveness and feasibility of the proposed model.关键词
综合能源/Stackelberg主从博弈/电转气/碳捕集装置Key words
Integrated energy system/Stackelberg master-slave game/Power-to-gas system/Carbon capture systems引用本文复制引用
吴丽珍,王翠翠,陈伟..基于Stackelberg主从博弈综合能源系统双层低碳优化策略研究[J].全球能源互联网（英文）,2023,6(4):389-402,14.基金项目
This study was supported by the National Natural Science Foundation of China(Grant No.62063016) （Grant No.62063016）
