A mixed-integer LP model for the reconfiguration of radial electric distribution systems considering distributed generation


Autoria(s): Franco, John F.; Rider, Marcos J.; Lavorato, Marina; Romero, Rubén
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

21/01/2013

Resumo

The problem of reconfiguration of distribution systems considering the presence of distributed generation is modeled as a mixed-integer linear programming (MILP) problem in this paper. The demands of the electric distribution system are modeled through linear approximations in terms of real and imaginary parts of the voltage, taking into account typical operating conditions of the electric distribution system. The use of an MILP formulation has the following benefits: (a) a robust mathematical model that is equivalent to the mixed-integer non-linear programming model; (b) an efficient computational behavior with exiting MILP solvers; and (c) guarantees convergence to optimality using classical optimization techniques. Results from one test system and two real systems show the excellent performance of the proposed methodology compared with conventional methods. © 2012 Published by Elsevier B.V. All rights reserved.

Formato

51-60

Identificador

http://dx.doi.org/10.1016/j.epsr.2012.12.005

Electric Power Systems Research, v. 97, p. 51-60.

0378-7796

http://hdl.handle.net/11449/74403

10.1016/j.epsr.2012.12.005

WOS:000315934800007

2-s2.0-84872305854

Idioma(s)

eng

Relação

Electric Power Systems Research

Direitos

closedAccess

Palavras-Chave #Active power losses reduction #Distributed generation #Mixed-integer linear programming #Reconfiguration of electric distribution systems #Active power loss #Classical optimization #Conventional methods #Distribution systems #Electric distribution systems #Imaginary parts #Linear approximations #MILP formulation #Mixed integer linear programming #Mixed-integer #Mixed-integer nonlinear programming #Operating condition #Optimality #Real systems #Test systems #Distributed power generation #Mathematical models #Optimization #Integer programming
Tipo

info:eu-repo/semantics/article