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 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.

• Fecha de publicación: 2018
• Institución: Universidad Tecnológica de Bolívar
• Repositorio: Repositorio Institucional UTB
• Idioma: eng
• OAI Identifier: oai:repositorio.utb.edu.co:20.500.12585/8860
• Acceso en línea: https://hdl.handle.net/20.500.12585/8860
• Palabra clave: Direct-current power grids; Distributed generators location and sizing; General algebraic modeling system; Mixed-integer nonlinear programming; Power losses minimization; Algebra; Distributed computer systems; Distributed power generation; Integer programming; Location; Nonlinear programming; Voltage regulators; Algebraic modeling; Direct current power; Location and sizings; Mixed-integer nonlinear programming; Power-losses; Electric power transmission networks
• Rights: restrictedAccess
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/