Adaptive and Self-Healing Protection Schemes for Renewable-Rich Microgrids Using Deep Reinforcement Learning

Integrating distributed renewable energy sources into microgrids creates new protection challenges such as bidirectional power flows, reduced fault currents, and topology changes that limit traditional relaying methods, this paper proposes a novel integrated protection framework using reinforcement...

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Detalhes bibliográficos

Autor principal:	Hussein Naeem Qasim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wasit University 2026-06-01
coleção:	Wasit Journal of Engineering Sciences
Assuntos:	Reinforcement learning microgrid protection, Adaptive relaying systems, Self-healing smart grids, Fault classification and isolation, Deep reinforcement learning applications.
Acesso em linha:	http://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/785
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