Application of quasi-oppositional driving training-based optimization for a feasible optimal power flow solution of renewable power systems with a unified power flow controller

The current study’s objective is to reveal the best possible solution for an optimal power flow (OPF) problem. The driving training-based optimization (DTBO) technique has been applied in this work to achieve the goal where quasi-oppositional based learning (QOBL) has been integrated with DTBO and r...

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Detalhes bibliográficos

Principais autores:	Tushnik Sarkar, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-05-01
coleção:	Frontiers in Energy Research
Assuntos:	optimal power flow renewable energy sources unified power flow controller quasi-oppositional driving training based optimization power flow controller
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fenrg.2025.1562758/full
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