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A distributed scheme for fair EV charging under transmission constraints

  • IBM

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

We propose a distributed decision-making scheme to model the charging of a collection of Electric Vehicles (EV). Each charger individually determines its own charging schedule by iteratively transacting signals with a central authority. The EVs respond to signals from the central location, which sets its incentives to ensure safe operation of the local transmission and distribution grid. We study a model whose purpose is to flatten the load while maintaining the fairness of charging. Our model introduces three unique characteristics to this problem: capacity constraints on the distribution grid, fair rationing of energy supply available under the capacity constraint, and discrete choice of EV charger settings. We present a distributed scheme to solve the large-scale optimization model.

Original languageEnglish
Title of host publication2012 American Control Conference, ACC 2012
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1053-1058
Number of pages6
ISBN (Print)9781457710957
DOIs
StatePublished - 2012
Event2012 American Control Conference, ACC 2012 - Montreal, QC, Canada
Duration: Jun 27 2012Jun 29 2012

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2012 American Control Conference, ACC 2012
Country/TerritoryCanada
CityMontreal, QC
Period06/27/1206/29/12

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