Modeling of load demand due to EV battery charging in distribution systems

Kejun Qian; Chengke Zhou; Malcolm Allan; Yue Yuan

doi:10.1109/TPWRS.2010.2057456

Modeling of load demand due to EV battery charging in distribution systems

Kejun Qian, Chengke Zhou, Malcolm Allan, Yue Yuan

Research output: Contribution to journal › Article › peer-review

1146 Citations (Scopus)

Abstract

This paper presents a methodology for modeling and
analyzing the load demand in a distribution system due to electric
vehicle (EV) battery charging. Following a brief introduction to the
common types of EV batteries and their charging characteristics,
an analytical solution for predicting the EV charging load is developed.
The method is stochastically formulated so as to account
for the stochastic nature of the start time of individual battery
charging and the initial battery state-of-charge. A comparative
study is carried out by simulating four EV charging scenarios, i.e.,
uncontrolled domestic charging, uncontrolled off-peak domestic
charging, “smart” domestic charging and uncontrolled public
charging—commuters capable of recharging at the workplace.

Original language	English
Pages (from-to)	802-810
Number of pages	9
Journal	IEEE Transactions on Power Systems
Volume	26
Issue number	2
DOIs	https://doi.org/10.1109/TPWRS.2010.2057456
Publication status	Published - Jan 2011

Keywords

electric vehicle battery charging
distribution system

Documents and Links

10.1109/TPWRS.2010.2057456

Cite this

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title = "Modeling of load demand due to EV battery charging in distribution systems",

abstract = "This paper presents a methodology for modeling andanalyzing the load demand in a distribution system due to electricvehicle (EV) battery charging. Following a brief introduction to thecommon types of EV batteries and their charging characteristics,an analytical solution for predicting the EV charging load is developed.The method is stochastically formulated so as to accountfor the stochastic nature of the start time of individual batterycharging and the initial battery state-of-charge. A comparativestudy is carried out by simulating four EV charging scenarios, i.e.,uncontrolled domestic charging, uncontrolled off-peak domesticcharging, “smart” domestic charging and uncontrolled publiccharging—commuters capable of recharging at the workplace.",

keywords = "electric vehicle battery charging, distribution system",

author = "Kejun Qian and Chengke Zhou and Malcolm Allan and Yue Yuan",

note = "<p>Originally published in: IEEE Transactions on Power Systems (2011), available online ahead of print: <a href={"}http://dx.doi.org/10.1109/TPWRS.2010.2057456{"}>http://dx.doi.org/10.1109/TPWRS.2010.2057456</a></p>",

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AU - Qian, Kejun

AU - Zhou, Chengke

AU - Allan, Malcolm

AU - Yuan, Yue

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PY - 2011/1

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N2 - This paper presents a methodology for modeling andanalyzing the load demand in a distribution system due to electricvehicle (EV) battery charging. Following a brief introduction to thecommon types of EV batteries and their charging characteristics,an analytical solution for predicting the EV charging load is developed.The method is stochastically formulated so as to accountfor the stochastic nature of the start time of individual batterycharging and the initial battery state-of-charge. A comparativestudy is carried out by simulating four EV charging scenarios, i.e.,uncontrolled domestic charging, uncontrolled off-peak domesticcharging, “smart” domestic charging and uncontrolled publiccharging—commuters capable of recharging at the workplace.

AB - This paper presents a methodology for modeling andanalyzing the load demand in a distribution system due to electricvehicle (EV) battery charging. Following a brief introduction to thecommon types of EV batteries and their charging characteristics,an analytical solution for predicting the EV charging load is developed.The method is stochastically formulated so as to accountfor the stochastic nature of the start time of individual batterycharging and the initial battery state-of-charge. A comparativestudy is carried out by simulating four EV charging scenarios, i.e.,uncontrolled domestic charging, uncontrolled off-peak domesticcharging, “smart” domestic charging and uncontrolled publiccharging—commuters capable of recharging at the workplace.

KW - electric vehicle battery charging

KW - distribution system

U2 - 10.1109/TPWRS.2010.2057456

DO - 10.1109/TPWRS.2010.2057456

M3 - Article

VL - 26

SP - 802

EP - 810

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

IS - 2

ER -

Modeling of load demand due to EV battery charging in distribution systems

Abstract

Keywords

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