Optimal Scheduling of Microgrid Based on Deep Deterministic Policy Gradient and Transfer Learning

Optimal Scheduling of Microgrid Based on Deep Deterministic Policy Gradient and Transfer Learning

Microgrid has flexible composition, a complex operation mechanism, and a large amount of data while operating. However, optimization methods of microgrid scheduling do not effectively accumulate and utilize the scheduling knowledge at present. This paper puts forward a microgrid optimal scheduling m...

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Bibliographic Details
Main Authors: Luqin Fan, Jing Zhang, Yu He, Ying Liu, Tao Hu, Heng Zhang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Energies
Subjects:
microgrid
optimal scheduling
reinforcement learning
transfer learning
Online Access:https://www.mdpi.com/1996-1073/14/3/584

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