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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Hlavní autor:	Hussein Naeem Qasim
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wasit University 2026-06-01
Edice:	Wasit Journal of Engineering Sciences
Témata:	Reinforcement learning microgrid protection, Adaptive relaying systems, Self-healing smart grids, Fault classification and isolation, Deep reinforcement learning applications.
On-line přístup:	http://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/785
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