An Agent Trading on Behalf of V2G Drivers in a Day-ahead Price Market

Ibrahem A. Almansour, Enrico H. Gerding, Gary Wills


Due to the limited availability of fuel resources, there is an urgent need for converting to use renewable sources efficiently. To achieve this, power consumers should participate actively in power production and consumption. Consumers nowadays can produce power and consume a portion of it locally, and then could offer the rest of the power to the grid. Vehicle-to-grid (V2G) which is one of the most effective sustainable solutions, could provide these opportunities. V2G can be defined as a situation where electric vehicles (EVs) offer electric power to the grid when parked. We developed an agent to trade on behalf of V2G users to maximize their profits in a day-ahead price market. We then ran the proposed model in three different scenarios using an optimal algorithm and compared the results of our solution to a benchmark. We show that our solution outperforms the benchmark strategy in the proposed three scenarios 49%, 51%, and 10% respectively in terms of profit.


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Paper Citation

in Harvard Style

A. Almansour I., H. Gerding E. and Wills G. (2017). An Agent Trading on Behalf of V2G Drivers in a Day-ahead Price Market . In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-242-4, pages 135-141. DOI: 10.5220/0006156201350141

in Bibtex Style

author={Ibrahem A. Almansour and Enrico H. Gerding and Gary Wills},
title={An Agent Trading on Behalf of V2G Drivers in a Day-ahead Price Market},
booktitle={Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},

in EndNote Style

JO - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - An Agent Trading on Behalf of V2G Drivers in a Day-ahead Price Market
SN - 978-989-758-242-4
AU - A. Almansour I.
AU - H. Gerding E.
AU - Wills G.
PY - 2017
SP - 135
EP - 141
DO - 10.5220/0006156201350141