Fuzzy logic-based charging strategy for Electric Vehicles plugged into a smart grid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

The smart grid allows its consumers to participate in producing cost effective, sustainable, and environmentally friendly electricity. The consumers in a smart grid, for example, can plug their Electric Vehicles (EVs) into the grid to charge and discharge their vehicles' batteries. However, charging of the electric vehicles, especially during the peak periods, can adversely impact the grid performance. Thus, in this paper, the coordinated charging of the electric vehicles problem is tackled. A fuzzy logic-based approach is developed to coordinate the electric vehicle charging such that the system minimum voltage is within the allowable limits. The inputs to the Fuzzy Charging Controller (FCC) include the States of Charge (SOC) of the electric vehicles, the grid parameters represented in the system minimum voltage, and the hourly energy price. The output of the FCC is the charging levels of the electric vehicles' batteries. The developed fuzzy logic-based charging strategy was validated on the 69-bus test system. The Fuzzy Charging (FC) was compared with three modes of uncoordinated charging, namely Slow Charging (SC), Medium Charging (MC), and Fast Charging (FC). The results of the comparative study prove the superiority of the developed fuzzy charging approach over uncoordinated charging schemes.

Original languageBritish English
Title of host publicationInternational Conference on Smart Energy Grid Engineering, SEGE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467379328
DOIs
StatePublished - 10 Nov 2015
EventInternational Conference on Smart Energy Grid Engineering, SEGE 2015 - Oshawa, Canada
Duration: 17 Aug 201519 Aug 2015

Publication series

NameInternational Conference on Smart Energy Grid Engineering, SEGE 2015

Conference

ConferenceInternational Conference on Smart Energy Grid Engineering, SEGE 2015
Country/TerritoryCanada
CityOshawa
Period17/08/1519/08/15

Keywords

  • Charging
  • electric vehicles
  • fuzzy logic
  • smart grid

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