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Battery and Hydrogen Energy Storage Control in a Smart Energy Network with Flexible Energy Demand using Deep Reinforcement Learning. (arXiv:2208.12779v1 [eess.SY])
cs.LG updates on arXiv.org arxiv.org
Smart energy networks provide for an effective means to accommodate high
penetrations of variable renewable energy sources like solar and wind, which
are key for deep decarbonisation of energy production. However, given the
variability of the renewables as well as the energy demand, it is imperative to
develop effective control and energy storage schemes to manage the variable
energy generation and achieve desired system economics and environmental goals.
In this paper, we introduce a hybrid energy storage system composed of …
arxiv battery energy energy storage learning network reinforcement reinforcement learning smart storage