Optimal Location and Sizing of DGs in DC Networks Using a Hybrid Methodology Based on the PPBIL Algorithm and the VSA

Optimal Location and Sizing of DGs in DC Networks Using a Hybrid Methodology Based on the PPBIL Algorithm and the VSA

In this paper, we propose a master–slave methodology to address the problem of optimal integration (location and sizing) of Distributed Generators (DGs) in Direct Current (DC) networks. This proposed methodology employs a parallel version of the Population-Based Incremental Learning (PPBIL) optimiza...

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Bibliographic Details
Main Authors: Luis Fernando Grisales-Noreña, Oscar Danilo Montoya, Ricardo Alberto Hincapié-Isaza, Mauricio Granada Echeverri, Alberto-Jesus Perea-Moreno
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Mathematics
Subjects:
direct current grids
distributed generation
direct current networks
metaheuristic optimization
parallel processing tools
power loss reduction
Online Access:https://www.mdpi.com/2227-7390/9/16/1913

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