DocumentCode :
2022059
Title :
Estimation of capacity for charging electric vehicles
Author :
Xi Chen ; Crossley, Peter ; Cotton, I.
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
fYear :
2013
fDate :
16-20 June 2013
Firstpage :
1
Lastpage :
3
Abstract :
The growing consciousness for increased environment protection has made Electric Vehicles (EV) a more attractive and practical alternative to the internal combustion engine car. The increasing number of EVs connected to power systems for charging will have a significant impact on the operating performance of power systems. This paper proposes a methodology to determine the maximum number of EVs that can be charged by estimating the loading capacity of a transformer. The EVs are charged according to users driving requirements while respecting the constraints of the local distribution network. Analysis of transformer dynamic thermal performance is used to determine the maximum allowable load on a transformer. Results show that more EVs can be charged when using the dynamic thermal rating rather than the static thermal rating. The estimated capacity indicates the maximum number of EVs that can be charged, if the normal operation of the power system must be maintained.
Keywords :
automobiles; distributed power generation; electric vehicles; internal combustion engines; load distribution; power system simulation; power transformers; charging electric vehicle; distribution network; environment protection; internal combustion engine car; load determination; power system modeling; transformer dynamic thermal performance; transformer loading capacity estimation; users driving requirement; Electric vehicles; Load modeling; Oil insulation; Power transformers; Temperature; Thermal resistance; Electric Vehicles; Power System Dynamics; Power System Modeling; Power System Simulation; Power Transformer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
Type :
conf
DOI :
10.1109/PTC.2013.6652328
Filename :
6652328
Link To Document :
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