Vortex search and Chu-Beasley genetic algorithms for optimal location and sizing of distributed generators in distribution networks: A novel hybrid approach
In this study, we analyzed the optimal location and sizing of distributed generators (DGs) in radial distributed networks using a hybrid master-slave metaheuristic technique. The master stage corresponds to the selection of suitable points for the locations of the DGs, whereas the slave stage is the...
- Autores:
-
Montoya, Oscar Danilo
Gil-González, Walter
Orozco-Henao, César
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9540
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9540
https://www.sciencedirect.com/science/article/pii/S2215098619312054
- Palabra clave:
- Combinatorial optimization
Distributed generators
Genetic algorithm
Distribution networks
Power losses reduction
Vortex search optimization algorith
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/