An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach
This paper addresses the classical problem of optimal location and sizing of distributed generators (DGs) in radial distribution networks by presenting a mixed-integer nonlinear programming (MINLP) model. To solve such model, we employ the General Algebraic Modeling System (GAMS) in conjunction with...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9246
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9246
- Palabra clave:
- Distributed generation
Distribution systems
General algebraic modeling system
Mixed-integer nonlinear programming
Optimal location and sizing of distributed generation
Algebra
Distributed power generation
Integer programming
Location
Algebraic modeling
Distributed generator (DGs)
Distribution systems
Mixed integer nonlinear programming models
Mixed-integer nonlinear programming
Optimal locations
Radial distribution networks
Solution methodology
Nonlinear programming
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/