A Multi-Agent System for Controlled Charging of a Large Population of Electric Vehicles

Author

Karfopoulos, Evangelos L. ; Hatziargyriou, Nikos D.

Author_Institution

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

Volume

28

Issue

2

fYear

2013

fDate

May-13

Firstpage

1196

Lastpage

1204

Abstract

The share of electric vehicles (EVs) is expected to increase significantly in the vehicle market sales in the forthcoming years. Uncontrolled charging of EVs can affect adversely the normal operation of the power system, especially at the distribution level. This paper proposes a distributed, multi-agent EV charging control method based on the Nash Certainty Equivalence Principle that considers network impacts. Convergence of the method when the EVs control agents are uncoupled and weakly-coupled is discussed. The efficiency of the proposed management system is evaluated through simulation of a realistic, urban distribution network.

Keywords

battery chargers; battery powered vehicles; distributed control; game theory; multi-agent systems; power engineering computing; EV uncontrolled charging; Nash certainty equivalence principle; electric vehicle; energy management; multiagent EV charging control method; power system; urban distribution network; Batteries; Games; Linear programming; Multiagent systems; Optimization; Pricing; Vehicles; Electric vehicles; Nash certainty equivalence principle; energy management; intelligent agents; multi-agent systems;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2012.2211624

Filename

6299001