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 neces-sary to define...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |