DocumentCode :
3457461
Title :
Management of PHEV charging from the smart grid using sensor web services
Author :
Asad, Omar ; Erol-Kantarci, Melike ; Mouftah, Hussein T.
Author_Institution :
Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON, Canada
fYear :
2011
fDate :
8-11 May 2011
Abstract :
Plug-in Hybrid Electric Vehicles (PHEVs) have less fossil- fuel dependency, lower carbon emissions and lower operating costs than the conventional vehicles. On the other hand, wide adoption of PHEVs is expected to increase the load on the power grid. Sensor web services have recently emerged as promising tools that can provide remote management, data collection and querying capabilities for the sensor networks in the smart grid. In this paper, we use sensor web services for management PHEV charging in order to increase the administration ability of the utility over load and increase the control of the consumer on her energy expenses. In our application, the driver can remotely access the State of Charge (SOC) of her vehicle, provide a destination address and query cost and emissions for alternative fuel options. Moreover, the application communicates with the utility web services, learns the advertised critical peak periods and avoids charging the vehicle during those periods to protect the grid. We show that our scheme reduces driver expenses and vehicle emissions while providing an acceptable SOC level. In addition, we show that the application is efficient in terms of completion time and the code sizes are suitable for a sensor node.
Keywords :
Web services; battery chargers; battery powered vehicles; hybrid electric vehicles; power engineering computing; smart power grids; wireless sensor networks; PHEV charging; driver expenses; plug-in hybrid electric vehicles; sensor Web services; sensor networks; smart grid; vehicle emissions; vehicle state of charge; Batteries; Electricity; Smart grids; Vehicles; Web servers; carbon emission; critical peak period; plug-in hybrid electric vehicle; sensor web service; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
Conference_Location :
Niagara Falls, ON
ISSN :
0840-7789
Print_ISBN :
978-1-4244-9788-1
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2011.6030662
Filename :
6030662
Link To Document :
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