The Impact of Electric Vehicle Uncertainties on Load Levelling in the UK

Bowen Zhou, Dongsheng Yang, Guanhao Du, Siqi Bu, Tim Littler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
300 Downloads (Pure)

Abstract

Electric vehicles (EVs) integration in modern power systems has modified the nature of traditional power demand, which brings uncertainties in the energy consumption end. Such uncertainties may lead to a variety of influences on the
performance of EV applications in power systems. This paper focuses on the EV application to load levelling in the UK. Six EV uncertainties are specified to analyze the impact on three parameters, which describe the performance of load levelling. The UK EV and power system data are used in the case study. The simulation results show that the battery sizes, discrete accuracy, and driving behavior have little influence on the load levelling results; a better load levelling result can be obtained with larger EV scales, larger discharging available capacity, and longer available time duration; inappropriate selection of
available time duration may worsen the ramps, which bring challenges to conventional generators.
Original languageEnglish
Title of host publicationProceedings of the IEEE Power and Engineering Society General Meeting (PESGM 2017)
Publisher IEEE
Number of pages5
DOIs
Publication statusPublished - 01 Feb 2018
EventIEEE Power and Energy Society General Meeting - Chicago, United States
Duration: 16 Jul 201720 Jul 2017
http://pes-gm.org/2017/
http://pes-gm.org/2017/

Publication series

NameIEEE Power & Energy Society General Meeting: Proceedings
ISSN (Electronic)1944-9933

Conference

ConferenceIEEE Power and Energy Society General Meeting
Abbreviated titleIEEE PES-GM 2017
CountryUnited States
CityChicago
Period16/07/201720/07/2017
Internet address

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