Hierarchical electric vehicle charging aggregator strategy using dantzig-wolfe decomposition
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Date
2018
Authors
M. Hadi Amini
Paul Mc Namara
Paul Weng
Orkun Karabasoglu
Yinliang Xu
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Computer Society help@computer.org
Open Access Color
Green Open Access
Yes
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Publicly Funded
Yes
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Impulse
Top 10%
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Top 10%
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Top 10%
Abstract
This article focuses on reducing a charging cost for electric vehicles (EVs). A charging strategy is proposed to minimize the charging cost of EVs within the charging station constraints. © 2018 Elsevier B.V. All rights reserved.
Description
ORCID
Keywords
Dantzig-wolfe Decomposition, Electric Vehicle Charging Aggregator, Electric Vehicles, Hierarchical Optimziation, Hierarchical Scheduling, Linear Programming, Costs, Electric Vehicles, Iterative Methods, Linear Programming, Optimization, Scheduling, Charging Station, Dantzig-wolfe Decomposition, Electric Vehicle Charging, Hierarchical Optimziation, Hierarchical Scheduling, State Of Charge, Charging (batteries), Costs, Electric vehicles, Iterative methods, Linear programming, Optimization, Scheduling, Charging station, Dantzig-wolfe decomposition, Electric vehicle charging, Hierarchical optimziation, Hierarchical scheduling, State of charge, Charging (batteries), Dantzig-Wolfe Decomposition, Linear Programming, Hierarchical Scheduling, Electric Vehicles, Electric Vehicle Charging Aggregator, Hierarchical Optimziation
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q
OpenCitations Citation Count
33
Source
IEEE Design & Test
Volume
35
Issue
6
Start Page
25
End Page
36
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Citations
CrossRef : 20
Scopus : 29
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