Charging control model for Electric Vehicle Supplier Aggregator

Author

Karfopoulos, Evangelos L. ; Marmaras, Charalampos E. ; Hatziargyriou, Nikos

Author_Institution

Nat. Tech. Univ. of Athens, Athens, Greece

fYear

2012

fDate

14-17 Oct. 2012

Firstpage

1

Lastpage

7

Abstract

The objective of this paper is to present a double-layer charging control model which can be utilized by an Electric Vehicle Supplier/Aggregator (EVS/A) for scheduling and managing the electric vehicle (EV) charging demand. The first layer is a cost-minimization load scheduling algorithm considering the EV demand forecast and wholesale prices. EVS/A can be incentivized by the DSOs to offer load management services, thus, the scheduling algorithm is further enhanced by considering network performance. The second layer is a dispatch algorithm for allocating the purchased power to EVs without violating network constraints. The efficiency of the presented charging control tool is evaluated through simulations in a realistic urban MV distribution network.

Keywords

battery powered vehicles; distribution networks; load management; minimisation; scheduling; DSO; EV demand forecast; EVS-A; charging control model; cost-minimization load scheduling algorithm; dispatch algorithm; double-layer charging control model; electric vehicle charging demand; electric vehicle supplier-aggregator; load management services; scheduling; scheduling algorithm; urban MV distribution network; Batteries; Load management; Load modeling; Predictive models; Resource management; Schedules; Vehicles; Electric Vehicles; Energy Management; Power System Economics; Smart Grids;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on

Conference_Location

Berlin

ISSN

2165-4816

Print_ISBN

978-1-4673-2595-0

Electronic_ISBN

2165-4816

Type

conf

DOI

10.1109/ISGTEurope.2012.6465716

Filename

6465716