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.
Original language | English |
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Article number | 6596512 |
Pages (from-to) | 1802-1809 |
Number of pages | 8 |
Journal | IEEE Transactions on Smart Grid |
Volume | 4 |
Issue number | 4 |
DOIs | |
Publication status | Published - Dec 2013 |
Keywords
- Distribution networks
- Electric vehicles
- Multiagent systems
- Real-time systems
- Smart grids