Multi-Agent Schedule Optimization Method for Regional Energy Internet Considering the Improved Tiered Reward and Punishment Carbon Trading Model

Multi-Agent Schedule Optimization Method for Regional Energy Internet Considering the Improved Tiered Reward and Punishment Carbon Trading Model

Regional energy internet (REI) contains massive market agents, whose interests and objectives vary from each other. In consequence, it is challenging to stimulate the energy conservation and emissions reduction participation of each agent by the conventional schedule optimization method. This paper...

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Bibliographic Details
Main Authors: Tianxiang Li, Qian Xiao, Hongjie Jia, Yunfei Mu, Xinying Wang, Wenbiao Lu, Tianjiao Pu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Energy Research
Subjects:
carbon trading
multi-agent game
regional energy internet
schedule optimization
reward and punishment mechanism
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.916996/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.916996/full

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