Optimal Scheduling of Energy Storage System Considering Life-Cycle Degradation Cost Using Reinforcement Learning

Recently, due to the ever-increasing global warming effect, the proportion of renewable energy sources in the electric power industry has increased significantly. With the increase in distributed power sources with adjustable outputs, such as energy storage systems (ESSs), it is necessary to define...

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Autori principali: Wonpoong Lee, Myeongseok Chae, Dongjun Won
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2022-04-01
Serie:Energies
Soggetti:
energy storage system
life-cycle cost
optimal scheduling
reinforcement learning
Accesso online:https://www.mdpi.com/1996-1073/15/8/2795
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