A novel intelligent control using RBFNN-class topper optimization for stability enhancement in hybrid standalone microgrid

Abstract This paper presents an intelligent coordinated control framework for a hybrid standalone microgrid integrating solar photovoltaic, wind, and battery energy storage systems. The proposed Radial Basis Function Neural Network–Class Topper Optimization Algorithm (RBFNN–CTOA) controller combines...

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Detalles Bibliográficos

Principais autores:	Anand Kumar Myla, Srinivasa Rao Gorantla
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2026-03-01
Series:	Scientific Reports
Assuntos:	Hybrid standalone microgrid RBF neural network Class topper optimization algorithm Coordinated control Lyapunov stability Harmonic suppression
Acceso en liña:	https://doi.org/10.1038/s41598-026-44798-6
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