Relaxed convex model for optimal location and sizing of DGs in DC grids using sequential quadratic programming and random hyperplane approaches

This report addresses the problem of optimal location and sizing of constant power sources (distributed generators (DGs)) in direct current (DC) networks for improving network performance in terms of voltage profiles and energy efficiency. An exact mixed-integer nonlinear programming (MINLP) method...

Full description

Autores:

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:20.500.12585/9141

Acceso en línea:

https://hdl.handle.net/20.500.12585/9141

Palabra clave:

Convex optimization
Direct current networks
Distributed generation
Random hyperplane method
Relaxed mathematical model
Taylor series expansion
Convex optimization
Distributed power generation
Energy efficiency
Geometry
Integer programming
MATLAB
Quadratic programming
Relaxation processes
Taylor series
Voltage regulators
Direct current
Distributed generator (DGs)
Meta-heuristic optimizations
Mixed-integer nonlinear programming
Random hyperplane method
Sequential quadratic programming
Taylor series expansions
Taylor series methods
Heuristic methods

Rights

restrictedAccess

License

http://creativecommons.org/licenses/by-nc-nd/4.0/