DocumentCode :
2655712
Title :
Electric vehicle-intelligent energy management system (EV-IEMS) for frequency regulation application
Author :
Sandoval, Marcelo ; Grijalva, Santiago
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Tech., Atlanta, GA, USA
fYear :
2012
fDate :
18-20 June 2012
Firstpage :
1
Lastpage :
6
Abstract :
The world faces the unprecedented challenge of the need change to a new energy era. The introduction of distributed renewable energy and storage together with transportation electrification and deployment of electric and hybrid vehicles, allows traditional consumers to not only consume, but also to produce, or store energy. The active participation of these so called “prosumers”, and their interactions may have a significant impact on the operations of the emerging smart grid. However, how these capabilities should be integrated with the overall system operation is unclear. Intelligent energy management systems give users the insight they need to make informed decisions about energy consumption. Properly implemented, intelligent energy management systems can help cut energy use, spending, and emissions. This project aims to develop a consumer point of view, user-friendly, intelligent energy management system, that enables vehicle drivers to plan their trips, manage their battery pack and under specific circumstances, inject electricity from their plug-in vehicles to power the grid, contributing to frequency regulation.
Keywords :
distributed control; energy management systems; energy storage; frequency control; hybrid electric vehicles; power consumption; renewable energy sources; smart power grids; decision making; distributed electric energy storage; distributed renewable energy source; electric vehicle deployment; energy consumption; frequency regulation; hybrid vehicle deployment; intelligent energy management system; plug-in electric vehicle; prosumer architecture; smart grid; transportation electrification; Batteries; Discharges (electric); Economics; Electricity; Energy management; Frequency control; Vehicles; electric vehicle; intelligent energy management system; particle swarm optimization; prosumer architecture; vehicle to grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2012 IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
978-1-4673-1407-7
Electronic_ISBN :
978-1-4673-1406-0
Type :
conf
DOI :
10.1109/ITEC.2012.6243510
Filename :
6243510
Link To Document :
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