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

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

doi:10.1109/PESGM.2017.8274727

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

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

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 language	English
Title of host publication	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Publisher	IEEE Computer Society
Pages	1-5
Number of pages	5
Volume	2018-January
ISBN (Electronic)	9781538622124
DOIs	https://doi.org/10.1109/PESGM.2017.8274727
Publication status	Published - 29 Jan 2018
Event	2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States Duration: 16 Jul 2017 → 20 Jul 2017

Conference

Conference	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Country/Territory	United States
City	Chicago
Period	16/07/17 → 20/07/17

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1109/PESGM.2017.8274727

http://hdl.handle.net/10397/100580

Cite this

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title = "The impact of electric vehicle uncertainties on load levelling in the UK",

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.",

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Zhou, B, Yang, D, Bu, S, Du, G & Littler, T 2018, The impact of electric vehicle uncertainties on load levelling in the UK. in 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. vol. 2018-January, IEEE Computer Society, pp. 1-5, 2017 IEEE Power and Energy Society General Meeting, PESGM 2017, Chicago, United States, 16/07/17. https://doi.org/10.1109/PESGM.2017.8274727

The impact of electric vehicle uncertainties on load levelling in the UK. / Zhou, Bowen; Yang, Dongsheng; Bu, Siqi et al.
2017 IEEE Power and Energy Society General Meeting, PESGM 2017. Vol. 2018-January IEEE Computer Society, 2018. p. 1-5.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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