DocumentCode :
7140
Title :
Coordination of the Charging of Electric Vehicles Using a Multi-Agent System
Author :
Papadopoulos, Panagiotis ; Jenkins, Nick ; Cipcigan, L.M. ; Grau, Isel ; Zabala, E.
Author_Institution :
Inst. of Energy, Cardiff Univ., Cardiff, UK
Volume :
4
Issue :
4
fYear :
2013
fDate :
Dec. 2013
Firstpage :
1802
Lastpage :
1809
Abstract :
An agent-based control system that coordinates the battery charging of electric vehicles in distribution networks is presented. The objective of the control system is to charge the electric vehicles at times of low electricity prices within distribution network technical constraints. Search techniques and neural networks are used for the decision making of the agents. The ability of the control system to work successfully when the distribution network is operated within its loading limits and when the loading limits are violated is demonstrated through experimental validation .
Keywords :
battery powered vehicles; decision making; multi-agent systems; neurocontrollers; power distribution control; search problems; secondary cells; agent-based control system; battery charging; decision making; distribution network technical constraints; electric vehicles; loading limits; low electricity prices; multi-agent system; neural networks; search techniques; Batteries; Electric vehicles; Electricity; Loading; Schedules; System-on-chip; Distribution networks; electric vehicles; multiagent systems; real-time systems; smart grids;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2013.2274391
Filename :
6596512
Link To Document :
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