The impact of electric vehicle uncertainties on load levelling in the UK

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)


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 publication2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781538622124
Publication statusPublished - 29 Jan 2018
Event2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States
Duration: 16 Jul 201720 Jul 2017


Conference2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Country/TerritoryUnited States


  • Electric vehicle (EV)
  • Load levelling
  • Uncertainties
  • Uncertainty analysis

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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