Publication:

Online Mechanism Design for Electric Vehicle Charging

Loading...
Thumbnail Image

Date

2011

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

International Foundation for Autonomous Agents and Multiagent Systems
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

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.

Description

Research Data

Keywords

electric vehicle, mechanism design, pricing, algorithms, design, economics, distributed AI, multiagent systems

Terms of Use

This article is made available under the terms and conditions applicable to Open Access Policy Articles (OAP), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories

Story
Online Mechanism Design for Electric Vehicle… : DASH Story 2014-05-11
I am a JD/MBA student writing a paper on an emerging company in an emerging industry. The ability to quickly find articles like this one via Google Scholar has increased my ability to absorb an industry's climate and better determine where the company I am looking into sits in that industry. Best.