Online Mechanism Design for Electric Vehicle Charging

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Author
Gerding, Enrico H.
Robu, Valentin
Stein, Sebastian
Rogers, Alex
Jennings, Nicholas R.
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http://www.ifaamas.org/Proceedings/aamas2011/papers/B6_B70.pdfMetadata
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Gerding, Enrico H., Valentin Robu, Sebastian Stein, David C. Parkes, Alex Rogers, and Nicholas R. Jennings. 2011. Online mechanism design for electric vehicle charging. In Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011): May, 2-6, 2011, Taipei, Taiwan, ed. Kagan Tumer, Pinar Yolum, Liz Sonenberg, and Peter Stone, 811-818. Richland, South Carolina: International Foundation for Autonomous Agents and Multiagent Systems.Abstract
Plug-in hybrid electric vehicles are expected to place a considerable strain on local electricity distribution networks, requiring charging to be coordinated in order to accommodate capacity constraints. We design a novel online auction protocol for this problem, wherein vehicle owners use agents to bid for power and also state time windows in which a vehicle is available for charging. This is a multi-dimensional mechanism design domain, with owners having non-increasing marginal valuations for each subsequent unit of electricity. In our design, we couple a greedy allocation algorithm with the occasional "burning" of allocated power, leaving it unallocated, in order to adjust an allocation and achieve monotonicity and thus truthfulness. We consider two variations: burning at each time step or on-departure. Both mechanisms are evaluated in depth, using data from a real-world trial of electric vehicles in the UK to simulate system dynamics and valuations. The mechanisms provide higher allocative efficiency than a fixed price system, are almost competitive with a standard scheduling heuristic which assumes non-strategic agents, and can sustain a substantially larger number of vehicles at the same per-owner fuel cost saving than a simple random scheme.Other Sources
http://www.eecs.harvard.edu/econcs/pubs/gerding-aamas11.pdfhttp://eprints.ecs.soton.ac.uk/21907/1/AAMAS440_cameraready.pdf
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