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

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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.


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},