DocumentCode
3386052
Title
A distributed approach to the integration of electric vehicles into future smart grids
Author
Mierau, Michael ; Kohrs, Robert ; Wittwer, Christof
Author_Institution
Fraunhofer Inst. for Solar Energy Syst. (ISE), Freiburg, Germany
fYear
2012
fDate
14-17 Oct. 2012
Firstpage
1
Lastpage
7
Abstract
For a large-scale introduction of electric vehicles (EVs) intelligent charging strategies are needed to adjust their energy demand to the production of renewable energy and the current load in the distribution grids. This paper presents an approach that puts the intelligence needed into the EVs, where most of the crucial information arise, thus minimizing the need of communication throughout the grid. The EVs shall be enabled to decide on a charging strategy using an optimization algorithm which creates a charging schedule based on the charging point´s and the EV´s capabilities, user input, battery degradation and a variable tariff for electricity. This algorithm has been implemented in a control device called the mobile Smart Meter (mSM), which is embedded in the EV, enabling it to handle the necessary communication and to create and monitor an optimized charging strategy. The results of a small-scale field trial shown in this paper delivered the proof of concept of the developed system.
Keywords
battery powered vehicles; load management; optimisation; secondary cells; smart meters; smart power grids; battery degradation; charging point; charging schedule; electric vehicle integration; energy demand; future smart grids; intelligent charging strategy; mobile smart meter; optimization algorithm; renewable energy production; variable electricity tariff; Batteries; Electricity; Energy exchange; Optimization; Process control; Schedules; Vehicles; Electric Vehicles; Intelligent Vehicles; Load Management; Smart Grids;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
Conference_Location
Berlin
ISSN
2165-4816
Print_ISBN
978-1-4673-2595-0
Electronic_ISBN
2165-4816
Type
conf
DOI
10.1109/ISGTEurope.2012.6465772
Filename
6465772
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