Dynamic Energy Dispatch in Isolated Microgrids Based on Deep Reinforcement Learning

7 Feb 2020Lei LeiYue TanGlenn DahlenburgWei XiangKan Zheng

This paper focuses on deep reinforcement learning (DRL)-based energy dispatch for isolated microgrids (MGs) with diesel generators (DGs), photovoltaic (PV) panels, and a battery. A finite-horizon Partial Observable Markov Decision Process (POMDP) model is formulated and solved by learning from historical data to capture the uncertainty in future electricity consumption and renewable power generation... (read more)

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