Reinforcement Learning for Energy-Storage Systems in Grid-Connected Microgrids: An Investigation of Online vs. Offline Implementation

Reinforcement Learning for Energy-Storage Systems in Grid-Connected Microgrids: An Investigation of Online vs. Offline Implementation

Grid-connected microgrids consisting of renewable energy sources, battery storage, and load require an appropriate energy management system that controls the battery operation. Traditionally, the operation of the battery is optimised using 24 h of forecasted data of load demand and renewable energy...

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Bibliographic Details
Main Authors: Khawaja Haider Ali, Marvin Sigalo, Saptarshi Das, Enrico Anderlini, Asif Ali Tahir, Mohammad Abusara
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Energies
Subjects:
reinforcement learning (RL)
microgrid
battery management
offline and online RL
optimisation
Online Access:https://www.mdpi.com/1996-1073/14/18/5688

Internet

https://www.mdpi.com/1996-1073/14/18/5688

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