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...

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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/