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arXiv · 2404.08837

Vehicle-to-Vehicle Charging: Model, Complexity, and Heuristics

Cláudio Gomes·João Paulo Fernandes·Gabriel Falcao·Soummya Kar·Sridhar Tayur
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Abstract

The rapid adoption of Electric Vehicles (EVs) poses challenges for electricity grids to accommodate or mitigate peak demand. Vehicle-to-Vehicle Charging (V2VC) has been recently adopted by popular EVs, posing new opportunities and challenges to the management and operation of EVs. We present a novel V2VC model that allows decision-makers to take V2VC into account when optimizing their EV operations. We show that optimizing V2VC is NP-Complete and find that even small problem instances are computationally challenging. We propose R-V2VC, a heuristic that takes advantage of the resulting totally unimodular constraint matrix to efficiently solve problems of realistic sizes. Our results demonstrate that R-V2VC presents a linear growth in the solution time as the problem size increases, while achieving solutions of optimal or near-optimal quality. R-V2VC can be used for real-world operations and to study what-if scenarios when evaluating the costs and benefits of V2VC.

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Cláudio Gomes, João Paulo Fernandes, Gabriel Falcao, Soummya Kar, Sridhar Tayur. 2024-04-12. Vehicle-to-Vehicle Charging: Model, Complexity, and Heuristics. https://doi.org/10.1109/smartgridcomm60555.2024.10738086

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