Online Mechanisms for Charging Electric Vehicles in Settings with Varying Marginal Electricity Costs
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Computational Sustainability. Pages 2610-2615.
Abstract
We propose new mechanisms that can be used by a demand response aggregator to flexibly shift the charging of electric vehicles (EVs) to times where cheap but intermittent renewable energy is in high supply. Here, it is important to consider the constraints and preferences of EV owners, while eliminating the scope for strategic behaviour. To achieve this, we propose, for the first time, a generic class of incentive mechanisms for settings with both varying marginal electricity costs and multidimensional preferences. We show these are dominant strategy incentive compatible, i.e., EV owners are incentivised to report their constraints and preferences truthfully. We also detail a specific instance of this class, show that it achieves ≈98% of the optimal in realistic scenarios and demonstrate how it can be adapted to trade off efficiency with profit.
@inproceedings{ijcai2015p370,
title = {Online Mechanisms for Charging Electric Vehicles in Settings with Varying Marginal Electricity Costs},
author = {Hayakawa, Keiichiro and Gerding, Enrico H. and Stein, Sebastian and Shiga, Takahiro},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {2610--2615},
year = {2015},
month = {7},
note = {Special Track on Computational Sustainability},
url = {https://ijcai.org/proceedings/2015/370},
}
TY - CPAPER TI - Online Mechanisms for Charging Electric Vehicles in Settings with Varying Marginal Electricity Costs AU - Hayakawa, Keiichiro AU - Gerding, Enrico H. AU - Stein, Sebastian AU - Shiga, Takahiro T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 2610 EP - 2615 UR - https://ijcai.org/proceedings/2015/370 ER -Copied
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