DocumentCode :
1719353
Title :
Plug-in electric vehicles as storage devices within an Autonomous power system. Optimization issue
Author :
Lombardi, P. ; Vasquez, P. ; Styczynski, Z.A.
Author_Institution :
Otto-von-Guericke Univ. Magdeburg, Magdeburg, Germany
fYear :
2009
Firstpage :
1
Lastpage :
7
Abstract :
In modern Power Electric Systems (PES) consisting of diverse sources of energy supply, uncertainty regarding the availability of some renewable sources-based generation plants is one of the major issues affecting the task of sizing the capacity of conventional generation plants. Energy storage devices are able to mitigate the intermittence of the availability of renewable resources and, consequently, successfully reduce the aforementioned uncertainty. Along these lines, electric drive vehicles equipped with sophisticated storage, control and communication systems are being developed and improved in order to allow their connection to the distribution networks at the final consumers´ level. This paper discusses the possibilities of taking advantage of plug-in electric vehicles while they are parked provided that their energy storage system installed on board is able to consume from or rapidly supply energy into the electric grid. The impact of incorporating plug-in electric vehicles within an Autonomous PES (APS) is evaluated by modeling the dynamic decisions executed for the EMS and by formulating an optimization problem where the type and size of the diverse generation plants -conventional and renewable- are known and the penetration level of plug-in electric vehicles is determined. Solutions found involve maximizing the performance (expressed in monetary terms) of the tested APS.
Keywords :
electric vehicles; energy storage; renewable energy sources; autonomous power electric system; electric drive vehicles; electric grid; energy storage devices; plug-in electric vehicles; renewable sources-based generation plants; Availability; Communication system control; Control systems; Drives; Electric vehicles; Energy storage; Power generation; Power systems; Uncertainty; Vehicle driving; Autonomous power system; PV; combined heat and power plant; electric vehicles; energy storage; optimization; stochastic; uncertainties; wind;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech, 2009 IEEE Bucharest
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-2234-0
Electronic_ISBN :
978-1-4244-2235-7
Type :
conf
DOI :
10.1109/PTC.2009.5281975
Filename :
5281975
Link To Document :
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