Tracking Photovoltaic Power Output Schedule of the Energy Storage System Based on Reinforcement Learning

Tracking Photovoltaic Power Output Schedule of the Energy Storage System Based on Reinforcement Learning

The inherent randomness, fluctuation, and intermittence of photovoltaic power generation make it difficult to track the scheduling plan. To improve the ability to track the photovoltaic plan to a greater extent, a real-time charge and discharge power control method based on deep reinforcement learni...

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Bibliographic Details
Main Authors: Meijun Guo, Mifeng Ren, Junghui Chen, Lan Cheng, Zhile Yang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Energies
Subjects:
deep reinforcement learning
energy storage system
photovoltaic power output
schedule tracking control
Online Access:https://www.mdpi.com/1996-1073/16/15/5840

Internet

https://www.mdpi.com/1996-1073/16/15/5840

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