Title
A Mixed-Integer Linear Programming Model for the Electric Vehicle Charging Coordination Problem in Unbalanced Electrical Distribution Systems
Date Issued
01 September 2015
Access level
metadata only access
Resource Type
journal article
Author(s)
Franco J.F.
Rider M.J.
Romero R.
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
This paper presents a novel mixed-integer linear programming (MILP) model for the electric vehicle charging coordination (EVCC) problem in unbalanced electrical distribution systems (EDSs). Linearization techniques are applied over a mixed-integer nonlinear programming model to obtain the proposed MILP formulation based on current injections. The expressions used to represent the steady-state operation of the EDS take into account a three-phase representation of the circuits, as well as the imbalance of the loads, leading to a more realistic model. Additionally, the proposed formulation considers the presence of distributed generators and operational constraints such as voltage and current magnitude limits. The optimal solution for the mathematical model was found using commercial MILP solvers. The proposed formulation was tested in a distribution system used in the specialized literature. The results show the efficiency and the robustness of the methodology, and also demonstrate that the model can be used in the solution of the EVCC problem in EDSs.
Start page
2200
End page
2210
Volume
6
Issue
5
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Scopus EID
2-s2.0-85028214697
Source
IEEE Transactions on Smart Grid
ISSN of the container
19493053
Sources of information: Directorio de Producción Científica Scopus