DocumentCode
57904
Title
Modeling and Control of Contactless Based Smart Charging Station in V2G Scenario
Author
Thirugnanam, Kannan ; Joy, T. P. Ezhil Reena ; Singh, Monika ; Kumar, Pranaw
Author_Institution
Dept. of Electron. & Electr. Eng., Indian Inst. of Technol. Guwahati, Guwahati, India
Volume
5
Issue
1
fYear
2014
fDate
Jan. 2014
Firstpage
337
Lastpage
348
Abstract
This paper proposes the modeling and control of contactless based Charging Station (CS) in Vehicle-to-Grid (V2G) scenario. Various charging points, also called multi-point is present in a CS. The CS is a place where Electric Vehicles (EVs) of particular area will come to charge as well as to participate for the grid support. A multi-point bidirectional contactless based CS with its control structure has been modeled in this work. The smart control algorithm is developed for the CS, which has the ability to decide the power flow between EVs and grid. The control algorithm modulates the charging/discharging rates of individual EV batteries by updating the power requirement and realizes a fast and synchronized response among multiple EVs. Each charging points is designed for a maximum peak power handling capacity of 50 kW. The performance of the CS with its control system is investigated with multiple EVs of different battery ratings connected under a single power distribution node of a grid. Simulation studies show that the CS could effectively perform controlled charging/discharging based on the grid condition and EVs´ batteries constraints.
Keywords
battery powered vehicles; distributed power generation; load flow; EV batteries; V2G scenario; contactless based smart charging station control; contactless based smart charging station modeling; electric vehicles; maximum peak power handling capacity; multipoint bidirectional contactless based CS; power flow; power requirement; vehicle-to-grid scenario; Batteries; Coils; Control systems; Fuzzy logic; Mathematical model; Synchronization; Voltage control; Contactless power transfer; distributed energy resource; electric vehicles; fuzzy logic control; grid-to-vehicle; multi-point charging and vehicle-to-grid;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2013.2272798
Filename
6568003
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