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dc.contributor.authorZhou, Yingjie
dc.contributor.authorMaxemchuk, Nicholas F. 
dc.contributor.authorQian, Xiangying
dc.contributor.authorWang, Chen
dc.description.abstractAs the popularity of electric vehicles increases, the demand for more power can increase more rapidly than our ability to install additional generating capacity. In the long term we expect that the supply and demand will become balanced. However, in the interim the rate at which electric vehicles can be deployed will depend on our ability to charge these vehicles without inconveniencing their owners. In this paper, we investigate using fairness mechanisms to distribute power to electric vehicles on a smart grid. We assume that during peak demand there is insufficient power to charge all the vehicles simultaneously. In each five minute interval of time we select a subset of the vehicles to charge, based upon information about the vehicles. We evaluate the selection mechanisms using published data on the current demand for electric power as a function of time of day, current driving habits for commuting, and the current rates at which electric vehicles can be charged on home outlets. We found that conventional selection strategies, such as first-come-first-served or round robin, may delay a significant fraction of the vehicles by more than two hours, even when the total available power over the course of a day is two or three times the power required by the vehicles. However, a selection mechanism that minimizes the maximum delay can reduce the delays to a few minutes, even when the capacity available for charging electric vehicles exceeds their requirements by as little as 5%.
dc.titleThe Fair Distribution of Power to Electric Vehicles: An Alternative to Pricing
dc.typeconference object
dc.conference.date3-6 November 2014
dc.conference.placeVenice, Italy
dc.conference.titleThe 5th IEEE International Conference on Smart Grid Communications (IEEE SmartGridComm 2014)*
dc.subject.keywordElectric vehicles
dc.subject.keywordRound robin
dc.subject.keywordSmart grids

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