Optimal investments in PV sources for grid-connected distribution networks: An application of the discrete–continuous genetic algorithm

The problem of the optimal siting and sizing of photovoltaic (PV) sources in grid connected distribution networks is addressed in this study with a master–slave optimization approach. In the master optimization stage, a discrete–continuous version of the Chu and Beasley genetic algorithm (DCCBGA) is...

Full description

Autores:
Montoya Giraldo, Oscar Danilo
Grisales-Noreña, Luis Fernando
Perea-Moreno, Alberto-Jesus
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/10627
Acceso en línea:
https://hdl.handle.net/20.500.12585/10627
https://doi.org/10.3390/su132413633
Palabra clave:
Distributed generation
PV sources
Optimization algorithm
Genetic algorithm
Planing of electrical grids
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/