Overnight coordinated charging of plug-in electric vehicles based on maximum sensitivities selections

Amir S. Masoum, Sara Deilami, Mohammad A. S. Masoum, Ahmed Abu-Siada, Syed Islam

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

3 Citations (Scopus)

Abstract

The future smart grid (SG) will be populated with high penetrations of plug-in electric vehicles (PEVs) that may deteriorate the quality of electric power. The consumers will also be seeking economical options to charge their vehicles. This paper proposes an overnight maximum sensitivities selection based coordination algorithm (ON-MSSCA) for inexpensive overnight PEV charging in SG. The approach is based on a recently implemented online algorithm (OL-MSSCA) that charges the vehicles as soon as they are randomly plugged-in,while considering SG generation, demand, and voltage constraints. In contrast to the online approach, ON-MSSCA relies on inexpensive off-peak load hours charging to reduce the cost of generating energy, such that SG constraints are not violated and all vehicles are fully charged overnight. Performances of the online and overnight algorithms are compared to the modified IEEE 23 kV distribution system with low voltage residential feeders, populated with PEVs.

Original languageEnglish
Title of host publicationApplied engineering sciences
Subtitle of host publicationproceedings of the AASRI International Conference on Applied Engineering Science, Hollywood, USA, 23-24 July 2014
EditorsWei Deng
Place of PublicationLondon
PublisherCRC Press/Balkema
Pages65-70
Number of pages6
ISBN (Electronic)9781315762241
ISBN (Print)9781138026490
Publication statusPublished - 2015
Externally publishedYes
Event2014 AASRI International Conference on Applied Engineering Science - Los Angeles, United States
Duration: 23 Jul 201424 Jul 2014

Publication series

NameAdvances in Engineering and Applied Science
PublisherCRC Press
Volume1
ISSN (Electronic)2333-8040

Conference

Conference2014 AASRI International Conference on Applied Engineering Science
Abbreviated titleICAES 2014
CountryUnited States
CityLos Angeles
Period23/07/1424/07/14

Keywords

  • Electric vehicle
  • PEV
  • smart grid
  • online scheduling and overnight coordination

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