A new schedule-controlled strategy for charging large number of EVs with load shifting and voltage regulation

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

2 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationAsia-Pacific Power and Energy Engineering Conference, APPEEC
PublisherIEEE Computer Society
Volume2016-January
ISBN (Print)9781467381321
Publication statusPublished - 12 Jan 2016

Publication series

Name
Volume2016-January
ISSN (Print)2157-4839
ISSN (Electronic)2157-4847

Conference

TitleIEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2015
PlaceAustralia
CityBrisbane
Period15 - 18 November 2015

Abstract

Electric vehicles (EVs) is an attractive solution to replace traditional petrol cars. The penetration of EVs posts a challenge for power systems since it would inevitably incur undesirable voltage drops. EV load shedding can be performed to regulate the grid voltage. The EV charging location is also an important factor when shifting the EV loads. This paper presents a new schedule-controlled framework with the aims of load shifting and voltage regulation to control EV charging operations for radial distribution networks. The new strategy consists of two stages, of which the initial phase performs EV scheduling in consideration of both EV constraints and power system limitations, and the second control layer checks for voltage violations with essential EV rescheduling. A voltage sensitivity analysis method is employed to alleviate the impacts of EV charging locations. The control scheme is evaluated through a modified standard IEEE 33 nodes test feeder. The results demonstrate the control scheme can effectively satisfy normal demands of EVs and achieve the voltage regulation purpose.

Research Area(s)

  • charging, electric vehicle, radial distribution network, scheduling strategy, voltage sensitivity analysis

Citation Format(s)

A new schedule-controlled strategy for charging large number of EVs with load shifting and voltage regulation. / Mao, Tian; Lau, W. H.; Shum, Chong et al.
Asia-Pacific Power and Energy Engineering Conference, APPEEC. Vol. 2016-January IEEE Computer Society, 2016. 7380880.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review