DocumentCode
134878
Title
An MILP model for the plug-in electric vehicle charging coordination problem in electrical distribution systems
Author
Franco, John F. ; Rider, Marcos J. ; Romero, Ruben
Author_Institution
Dept. de Eng. Eletr., UNESP - Univ. Estadual Paulista, Ilha Solteira, Brazil
fYear
2014
fDate
27-31 July 2014
Firstpage
1
Lastpage
5
Abstract
A new mixed-integer linear programming (MILP) model is proposed to represent the plug-in electric vehicles (PEVs) charging coordination problem in electrical distribution systems. The proposed model defines the optimal charging schedule for each division of the considered period of time that minimizes the total energy costs. Moreover, priority charging criteria is taken into account. The steady-state operation of the electrical distribution system, as well as the PEV batteries charging is mathematically represented; furthermore, constraints related to limits of voltage, current and power generation are included. The proposed mathematical model was applied in an electrical distribution system used in the specialized literature and the results show that the model can be used in the solution of the PEVs charging problem.
Keywords
battery management systems; battery powered vehicles; distributed power generation; integer programming; linear programming; power generation scheduling; MILP model; PEV charging coordination problem; electrical distribution system; mathematical model; mixed integer linear programming model; optimal charging schedule; plug-in electric vehicles; power generation; priority charging criteria; steady-state operation; total energy cost minimization; Batteries; Electric vehicles; Green products; Manganese; Mathematical model; Power generation; Electrical distribution system; mixed integer linear programming; optimal charging; plug-in electric vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location
National Harbor, MD
Type
conf
DOI
10.1109/PESGM.2014.6939006
Filename
6939006
Link To Document