DocumentCode :
2469972
Title :
A Matlab simulator for electric drive vehicle to grid implementation
Author :
Ma, Yuchao ; Cruden, Andrew ; Infield, David
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
fYear :
2010
fDate :
14-17 March 2010
Firstpage :
1097
Lastpage :
1101
Abstract :
Vehicle to grid (V2G) describes a system in which power can be fed back to the electrical power grid from an electric drive vehicle (EDV) when connected to the grid and not in use. Alternatively, when the vehicle batteries need to be charged, the flow can be reversed and electricity can be drawn from the electrical power grid to charge the battery. Taking into account the specific features of the EDV battery energy storage system, a MATLAB simulator has been developed by the authors to model the scenarios of V2G deployment within a daily power dispatch schedule. Different characteristics of EDV battery energy storage system and test scenarios can be set up by the user. The power networks modeled in the simulator are standard IEEE-30, -57 and -118 bus systems. The simulator provides a tool to investigate the effects of V2G implementation across a wide scope of the economic and technical issues, with respect to the physical power grid operation.
Keywords :
battery powered vehicles; mathematics computing; power engineering computing; power generation dispatch; power grids; secondary cells; EDV battery energy storage system; IEEE-118 bus system; IEEE-30 bus systems; IEEE-57 bus system; MATLAB simulator; Matlab simulator; V2G deployment; daily power dispatch schedule; electric drive vehicle; electrical power grid; physical power grid operation; power networks modeling; vehicle batteries; vehicle to grid system; Battery powered vehicles; Electric vehicles; Energy storage; MATLAB; Mathematical model; Power grids; Power system economics; Power system modeling; System testing; Vehicle driving; Electric Drive Vehicle; State of Charge; Vehicle to Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2010 IEEE International Conference on
Conference_Location :
Vi a del Mar
Print_ISBN :
978-1-4244-5695-6
Electronic_ISBN :
978-1-4244-5696-3
Type :
conf
DOI :
10.1109/ICIT.2010.5472577
Filename :
5472577
Link To Document :
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