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Conference object . 2014 . Peer-reviewed

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Impacts of classified electric vehicle charging derived from driving patterns to the LV distribution network

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jul 2014Publisher:IEEEJournal:2014 IEEE PES General Meeting | Conference & Exposition

Authors: Chenghong Gu; Shuang Yu; Pingliang Zeng; Jiangtao Li; Furong Li; Chenchen Yuan; Fan Yi;

doi: 10.1109/pesgm.2014.6939929

Impacts of classified electric vehicle charging derived from driving patterns to the LV distribution network

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Abstract

Electric vehicles (EVs) charging demand is projected to be considerable in the future and imposes considerable impacts to the LV power network. However, how to forecast EV demand and assess the adverse charging effects like lower power quality and higher line loadings are still to be determined, which are crucial to economic power system operation and planning. In this research, by analysing the driving patterns of EVs, EV charging procedure is classified into 4 categories: residential slow charging (SC), workplace SC, fast charging (FC) and ultrafast charging (UC). The analysis criteria are mainly considering travelling distance, destination and vehicle idle time. Beta distribution function and double Gaussian distribution function are utilized to fit state of charge (SOC) and start charging time (SCT) functions of EV charging, from which the charging demand model of each EV charging type is given. Finally, time series power flow analysis is carried out to examine the adverse effects from EV charging demand in a test LV system.

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average