NDLI: Plug-in electric vehicles as storage devices within an Autonomous power system. Optimization issue

Content Provider	IEEE Xplore Digital Library
Author	Lombardi, P. Vasquez, P. Styczynski, Z.A.
Copyright Year	2009
Description	Author affiliation: Otto-von-Guericke Universität Magdeburg (Lombardi, P.; Vasquez, P.; Styczynski, Z.A.)
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.
Starting Page	1
Ending Page	7
File Size	735151
Page Count	7
File Format	PDF
ISBN	9781424422340
DOI	10.1109/PTC.2009.5281975
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-28
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electric vehicles Power systems Uncertainty Availability Power generation Energy storage Drives Vehicle driving Communication system control Control systems wind Autonomous power system combined heat and power plant electric vehicles energy storage optimization PV stochastic uncertainties
Content Type	Text
Resource Type	Article

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