A multi-objective improved horse herd optimizer based on convex lens imaging for stochastic optimization of wind energy resources in distribution networks considering reliability and uncertainty

Abstract In this study, stochastic multi-objective allocation of wind turbines (WTs) in radial distribution networks is performed using a new multi-objective improved horse herd optimizer (MOIHHO) and an unscented transformation (UT) method for modeling the uncertainties of WTs power and network loa...

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Principais autores:	Fude Duan, Ali Basem, Dheyaa J. Jasim, Mahdiyeh Eslami, Mustafa Okati
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2024-11-01
Series:	Scientific Reports
Assuntos:	Distribution network Wind turbine allocation Reliability Multi-objective improved horse herd optimizer Convex lens imaging Unscented transformation
Acceso en liña:	https://doi.org/10.1038/s41598-024-78977-0
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