Optimal operation of energy hub considering reward-punishment ladder carbon trading and electrothermal demand coupling

斯塔克伯格竞赛 环境经济学 计算机科学 温室气体 激励 微观经济学 经济 生态学 生物
作者
Haibing Wang,Anjie Zhao,Qasim Khan,Weiqing Sun
出处
期刊:Energy [Elsevier BV]
卷期号:286: 129571-129571 被引量:18
标识
DOI:10.1016/j.energy.2023.129571
摘要

As the massive carbon emissions from the power system, the shift of the power system to low-carbon becomes inevitable. In this context, this paper proposes a Stackelberg game approach to develop the operational strategy of energy hubs, which considers the reward and punishment ladder carbon trading mechanism and the coupling of electrothermal demand. To avoid the fixed carbon price in the past and the neglect of the incentive space for carbon trading, a ladder carbon trading mechanism of rewards and punishments is introduced to effectively depict carbon trading costs. The electrothermal coupling of the demand side is incorporated into the Stackelberg game model, and the flexible consumption model of users participating in the integrated demand response is established. The above model is solved by combining heuristic algorithm with solver CPLEX, which can solve the data privacy leakage problem of both parties. Simulation results show that the strategy can bring economic benefits to energy hub operators and users. Carbon emissions across the system were reduced by 14.4 %. Users with electric heating equipment can fully improve the electric load and heat load adjustment level, and improve their economic benefits by 2.4 % at the cost of a 3.2 % increase in carbon emissions.
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