NDLI: A distributed scheme for fair EV charging under transmission constraints

Content Provider	IEEE Xplore Digital Library
Author	Phan, D.T. Jinjun Xiong Ghosh, S.
Copyright Year	2012
Description	Author affiliation: IBM T.J. Watson Res. Center, Yorktown Heights, NY, USA (Phan, D.T.; Jinjun Xiong; Ghosh, S.)
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.
Sponsorship	IEEE Control Syst. Soc.
Starting Page	1053
Ending Page	1058
File Size	377049
Page Count	6
File Format	PDF
ISBN	9781457710957
ISSN	07431619
e-ISBN	9781457710964
e-ISBN	9781467321020
DOI	10.1109/ACC.2012.6315622
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Tin Load modeling Computational modeling Convergence Linear programming Schedules Smart grids
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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