DC microgrid for future electric vehicle charging station designed by Energetic Macroscopic Representation and Maximum Control Structure

Author

Locment, Fabrice ; Sechilariu, Manuela

Author_Institution

Univ. de Technol. de Compiegne, Compiegne, France

fYear

2014

fDate

13-16 May 2014

Firstpage

1454

Lastpage

1460

Abstract

This paper presents an urban DC microgrid based on photovoltaic which allows to charge the plug-in electric vehicles and to supply a DC load. Taking into account the public grid connection, the applied local control aims to extract maximum power from photovoltaic sources and manages the power flow with respect to electric vehicles state of charge and the DC load power demand. The urban DC microgrid is modeled by using Energetic Macroscopic Representation (EMR) and Maximum Control Structure (MCS). The simulation results for ensuring the maximal utilization of produced electricity, under different conditions, show the validity of the model and the feasibility of the proposed system design.

Keywords

distributed power generation; electric vehicles; load flow control; maximum power point trackers; photovoltaic power systems; DC microgrid; EMR; MCS; energetic macroscopic representation; energetic macroscopic representation structure; future electric vehicle charging station; maximum control structure; maximum power extraction; photovoltaic sources; power flow; public grid connection; urban DC microgrid; Batteries; Buildings; Charging stations; Load modeling; Microgrids; Technological innovation; Vehicles; DC microgrid; EMR; MCS; electric vehicle battery; photovoltaic; public grid; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy Conference (ENERGYCON), 2014 IEEE International

Conference_Location

Cavtat

Type

conf

DOI

10.1109/ENERGYCON.2014.6850614

Filename

6850614