Multi-Agent Bargaining Learning for Distributed Energy Hub Economic Dispatch

This paper proposes a novel multi-agent bargaining learning (MABL) for the distributed energy hub economic dispatch (EHED) of multiple energy carrier systems (MECS). Distributed EHED is developed by extending the conventional economic dispatch (ED) into MECS in a distributed manner, in which each en...

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Bibliographic Details
Main Authors: Xiaoshun Zhang, Tao Yu, Zhiyi Zhang, Jianlin Tang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8411116/