A DRL-based optimization method for microgrid operation

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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Bibliographic Details
Main Authors: ZENG Lei, DING Quan, CHEN Xiaoyu, YUE Xianya
Format: Article
Language:zho
Published: zhejiang electric power 2025-06-01
Series:Zhejiang dianli
Subjects:
drl
microgrid
optimal scheduling
td3
cost optimization
Online Access:https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=12522fcd-7acf-4eca-bc0a-95dc0aeb4319
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