Fault reconfiguration control strategy of islanded marine ranching power supply system based on deep reinforcement learning

•A fault reconstruction method is proposed for island-mode marine ranching power systems.•The method uses an improved Noisy-Dueling DQN for fast, autonomous power topology adjustment.•It accounts for both clean energy and complex marine environmental influences.•Noise networks improve exploration an...

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Veröffentlicht in:	International journal of electrical power & energy systems Jg. 169; S. 110796
Hauptverfasser:	Wang, Yichun, Zhang, Bo, Wang, Rongjie, Desong, Jiang, Cui, Yabo, Sun, Zhouyang, Liu, Hao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2025 Elsevier
Schlagworte:	Deep reinforcement learning Fault recovery and reconstruction Island AC power supply system Markov modeling Markov modeling Island AC power supply system Deep reinforcement learning Fault recovery and reconstruction
ISSN:	0142-0615
Online-Zugang:	Volltext
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