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...
- 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
- 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/