A DRL-based optimization method for microgrid operation
To address the challenges of source-load uncertainty and insufficient scheduling flexibility in microgrids， an optimization method for microgrid operation based on deep reinforcement learning （DRL） is proposed. First， a microgrid model comprising photovoltaic （PV）， energy storage， and generation equ...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
zhejiang electric power
2025-06-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=12522fcd-7acf-4eca-bc0a-95dc0aeb4319 |
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