Online scheduling scheme for smart electric vehicle charging infrastructure

Farag Sallabi, Khaled Shuaib, Mahmoud Alahmad

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

11 Citations (Scopus)

Abstract

in this paper, we propose an end-to-end smart electric vehicle charging infrastructure system architecture with an online scheduling scheme. The online scheduler is an important component of the architecture to manage resources at the charging stations. The scheduler operates in two steps. The first step is decentralized and is executed by each vehicle requiring battery recharge. The other step is performed by the central controller, a component of the architecture, to schedule vehicles for recharge based on users' requirements. We provision the scheduler with two plans, namely, plan A and plan B. In plan A, the scheduler tries to admit the requests for an immediate charge. If this plan fails, the scheduler applies plan B where it admits requests for delayed charging within a look-ahead time. The simulation was conducted to test the performance of the scheduler and its algorithm with and without look-ahead scheduling.

Original languageEnglish
Title of host publication2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1297-1302
Number of pages6
ISBN (Electronic)9781509043729
DOIs
Publication statusPublished - Jul 19 2017
Event13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 - Valencia, Spain
Duration: Jun 26 2017Jun 30 2017

Publication series

Name2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017

Other

Other13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Country/TerritorySpain
CityValencia
Period6/26/176/30/17

Keywords

  • Charging stations infrastructure
  • Electric vehicles
  • Online scheduler
  • Smart grid

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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