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Voltage Control for DC Microgrids: A Review and Comparative Evaluation of Deep Reinforcement Learning

Voltage stability in DC microgrids (DC MG) is crucial for ensuring reliable operation and component safety. This paper surveys voltage control techniques for DC MG, classifying them into model-based, model-free, and hybrid approaches. It analyzes their fundamental principles and evaluates their stre...

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Hlavní autoři: Sharafadeen Muhammad, Hussein Obeid, Abdelilah Hammou, Melika Hinaje, Hamid Gualous
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2025-10-01
Edice:Energies
Témata:
DC/DC converters
DC microgrid
deep reinforcement learning
Bayesian optimization
renewable energy
voltage control
On-line přístup:https://www.mdpi.com/1996-1073/18/21/5706
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