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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Hlavní autoři: Wonpoong Lee, Myeongseok Chae, Dongjun Won
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2022-04-01
Edice:Energies
Témata:
energy storage system
life-cycle cost
optimal scheduling
reinforcement learning
On-line přístup:https://www.mdpi.com/1996-1073/15/8/2795
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