Investigation of AIMD Based Charging Strategies for EVs Connected to a Low-Voltage Distribution Network
Published in International Conference on Intelligent Computing for Sustainable Energy and Environment, 2012
Abstract
In this paper we consider charging strategies that mitigate the impact of domestic charging of EVs on low-voltage distribution networks and which seek to reduce peak power by responding to time-ofday pricing. The strategies are based on the distributed Additive Increase and Multiplicative Decrease (AIMD) charging algorithms proposed in [5]. The strategies are evaluated using simulations conducted on a custom OpenDSS-Matlab platform for a typical low voltage residential feeder network. Results show that by using AIMD based smart charging 50% EV penetration can be accommodated on our test network, compared to only 10% with uncontrolled charging, without needing to reinforce existing network infrastructure.
Citation
@inproceedings{liu2012investigation,
title={Investigation of aimd based charging strategies for evs connected to a low-voltage distribution network},
author={Liu, Mingming and McLoone, Se{'a}n},
booktitle={International Conference on Intelligent Computing for Sustainable Energy and Environment},
pages={433–441},
year={2012},
organization={Springer}
}