Optimal location and sizing of distributed generators in dc networks using a hybrid method based on parallel pbil and pso

This paper addresses the problem of the locating and sizing of distributed generators (DGs) in direct current (DC) grids and proposes a hybrid methodology based on a parallel version of the Population-Based Incremental Learning (PPBIL) algorithm and the Particle Swarm Optimization (PSO) method. The...

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Autores:: Grisales-Noreña, Luis Fernando
Montoya, Oscar Danilo
Ramos-Paja, Carlos Andrés
Hernandez-Escobedo, Quetzalcoatl
Perea-Moreno, Alberto-Jesus

Tipo de recurso:

Fecha de publicación:: 2020

Institución:: Universidad Tecnológica de Bolívar

Repositorio:: Repositorio Institucional UTB

Idioma:: eng