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dc.contributorFaculty of Engineeringen_US
dc.creatorPan, Sheng-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/7310-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleFeasibility analysis of large scale electric vehicles penetration into electric power griden_US
dcterms.abstractThe future solution for the fossil fuels scarcity, as well as to the environmental problems associated with their wide usage, will most likely involve an extensive use of electric vehicles (EVs) as they have the inherent advantages of driving by electricity from renewable resources and reducing carbon dioxide emissions to a large extent. Currently, there are three relevant types of electric vehicles existing or prepared to be launched in the markets: fully battery driven type EVs, fuel cell type EVs, and hybrid type EVs. Battery and fuel cell EVs are driven only by electric power while current available hybrid EVs has also an internal combustion engine. Since these vehicles will require the use of batteries with high energy storage capacity and large electric charging requirements, a large deployment of this concept will not only provoke considerable impacts in electric power system design and operation, but will also enable and benefit the usage of non-pollutant energy resources increasing in power systems, such as wind power. The power system analysis, the modeling of EVs charging operations should consider affecting factors including users behaviours, battery characteristics, as well as the environment etc. In this thesis, studies are carried out based on the Danish case (Nordel system in East Denmark). A preliminary model of EV charging demand is created by integrating the driving pattern and battery charging characteristics. The model is applied to a typical distribution network in Nordel system. Monte Carlo simulation is employed to study the impact of EVs on the distribution grid in the presence of wind power considering different EV integration levels and the seasons.en_US
dcterms.extentix, 66 leaves : ill. (some col.) ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2012en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHElectric automobiles -- Power supplyen_US
dcterms.LCSHElectric power systems.en_US
dcterms.LCSHWind power industry.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/7310