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

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 func...

Full description

Saved in:
Bibliographic Details
Published in2018 IEEE 9th Power, Instrumentation and Measurement Meeting (EPIM) pp. 1 - 5
Main Authors Montoya, O. D., Garrid, V. M., Grisales-Norena, L. F., Gil-Gonzalez, W., Garces, A., Ramos-Paja, C. A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2018
Subjects
Direct-current power grids
distributed generators location and sizing
general algebraic modeling system
Generators
Linear programming
Mathematical model
mixed-integer nonlinear programming
Optimization
Power generation
Power grids
power losses minimization
Production
Online AccessGet full text

Cover

More Information
Summary: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.
DOI:10.1109/EPIM.2018.8756492