Fuzzy based active and reactive power support to the distribution network using electric vehicles

Kannan Thirugnanam, Praveen Kumar

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

4 Scopus citations

Abstract

Due to increasing peak power demand and decreasing quality of power delivery to consumers, the penetration of Electric Vehicles (EVs) are highly acceptable for grid support. If the EVs are exchange active and reactive power to grid during parking hours, then the peak power demand has reduced and quality of power delivery has improved. The EVs are discharged at a place to be called as a Grid Supporting Station (GSS). The GSS have multiple Discharging Units (DUs) which transfers active and reactive power from EVs' batteries to grid. In this paper, a fuzzy based control method is described for EVs which regulate the active and reactive power for grid support. The active and reactive power flow from EVs to grid based on the node voltage and amount of energy available in the GSS. Each DU is designed for a maximum power handling capacity of 80VA. The performance of the GSS is analyzed with five set of EVs which is connected through point of Common Coupling (PCC) of distribution node. Simulation studies show that the GSS could effectively exchange the power for grid support during the peak hours.

Original languageEnglish
Title of host publication2015 IEEE International Transportation Electrification Conference, ITEC-India 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509019113
DOIs
StatePublished - Jan 19 2016
Externally publishedYes
EventIEEE International Transportation Electrification Conference, ITEC-India 2015 - Chennai, India
Duration: Aug 27 2015Aug 29 2015

Publication series

Name2015 IEEE International Transportation Electrification Conference, ITEC-India 2015

Conference

ConferenceIEEE International Transportation Electrification Conference, ITEC-India 2015
Country/TerritoryIndia
CityChennai
Period08/27/1508/29/15

Keywords

  • Active and reactive power
  • Vehicle to-grid
  • battery
  • electric vehicles
  • fuzzy logic controller
  • grid connected inverter

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