Coordination of the Charging of Electric Vehicles Using a Multi-Agent System
- 12 September 2013
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Smart Grid
- Vol. 4 (4), 1802-1809
- https://doi.org/10.1109/tsg.2013.2274391
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
This publication has 17 references indexed in Scilit:
- A Multi-Agent System for Controlled Charging of a Large Population of Electric VehiclesIEEE Transactions on Power Systems, 2012
- Electric vehicles' impact on British distribution networksIET Electrical Systems in Transportation, 2012
- Optimal Charging of Electric Vehicles in Low-Voltage Distribution SystemsIEEE Transactions on Power Systems, 2011
- Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System LossesIEEE Transactions on Smart Grid, 2010
- Decentralized charging control for large populations of plug-in electric vehiclesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- PowerMatching City, a living lab smart grid demonstrationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Assessment of the Impact of Plug-in Electric Vehicles on Distribution NetworksIEEE Transactions on Power Systems, 2010
- Developing Multi‐Agent Systems with JADEPublished by Wiley ,2007
- Operation of a Multiagent System for Microgrid ControlIEEE Transactions on Power Systems, 2005
- Vehicle-to-grid power fundamentals: Calculating capacity and net revenueJournal of Power Sources, 2005