Distributed Energy Trading and Scheduling Among Microgrids via Multiagent Reinforcement Learning

Renewable energy technologies empower microgrids to generate electricity to supply themselves and trade with others. Under this paradigm, microgrids have become autonomous entities that must intelligently determine their policies for energy trading and scheduling. Many factors influence a microgrid&...

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Bibliographic Details
Main Authors: Gao, G. (Author), Tao, D. (Author), Wen, Y. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Online Access:View Fulltext in Publisher