Publicación:
Optimal Location of DGs in DC Power Grids Using a MINLP Model Implemented in GAMS

Portada

Miniatura

Citas bibliográficas

Gestores Bibliográficos

Mendeley

Indexadores

Google
Microsoft Academic

Código QR

QR

Métricas

Autores

Montoya Giraldo, Oscar Danilo

Autor corporativo

Recolector de datos

Otros/Desconocido

Director audiovisual

Editor

Institute of Electrical and Electronics Engineers Inc.
Tipo de Material

Conferencia

Fecha

2018

Citación

2018 IEEE 9th Power, Instrumentation and Measurement Meeting, EPIM 2018

Título de serie/ reporte/ volumen/ colección

Es Parte de

Resumen en inglés

This paper addresses the problem of optimal location and sizing of distributed generators (DGs) in direct-current (dc) power grids by using a mixed-integer nonlinear programming (MINLP) formulation. The reduction of the power losses in all branches of the network are considered as the objective function; while the restrictions are the power balance, voltage regulation, maximum penetration and maximum distributed generation units available. The general algebraic modeling system (GAMS) is selected as nonlinear optimizing package to solve this problem; besides, a small numerical example of energy production is introduced to illustrate the usability of using GAMS. Finally, a 21-node dc grid with two ideal generators, and multiple constant power loads, is used as test system. © 2018 IEEE.

Descripción

Notas

FINANCIAL SUPPORT This work was supported by the Administrative Department of Science, Technology and Innovation of Colombia (COLCIENCIAS) through the National Scholarship Program, calling contest 727-2015, the PhD program in Engineering of la Universidad Tecnológica de Pereira, and the Univer-sidad Nacional de Colombia and the Instituto Tecnológico Metropolitano under the project UNAL-ITM-39823/P17211.

Es basado en (relación)

Es la base de (relación)

URL del Recurso

URI

https://hdl.handle.net/20.500.12585/8860

Identificador ISBN

9781538678428

Identificador ISSN

Identificador DOI

10.1109/EPIM.2018.8756492

ODS

Página de inicio

Es Parte del Libro

Colecciones

Productos de investigación