Electric Vehicle Charging Station Design for V2G and G2V Operation

Pavan Bhosale, A. Sujil, Rajesh Kumar

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

3 Citations (Scopus)

Abstract

Nowadays the adoption of large number of electrical vehicles (EV's) will considerably reduce the emission and appear to be the best replacement for IC engine vehicles. Thus, the requirement of charging station is very important due to the increasing number of EV's. These EV charging stations are operated in connection to the grid, will also increase the requirement of more power supply from the grid. The increasing requirement of power will lead to the increase in the load on the distribution grid. The proposed electrical vehicle charging station can perform the vehicle-to-grid (V2G) and grid-to-vehicle mode of operation and fast DC charging for multiple EV's. In proposed charging station, the EV's are integrated to the DC bus through the individual control system for separate power transfer from the AC grid through the DC bus. The proposed model is simulated to demonstrate the charging (G2V) and discharging (V2G) behavior of the electric vehicle in grid connected mode. The simulation result shows the effectiveness of the proposed model for the V2G and G2V operation.

Original languageEnglish
Title of host publication2023 4th International Conference for Emerging Technology, INCET 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350335750
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event4th International Conference for Emerging Technology, INCET 2023 - Belgaum, India
Duration: 26 May 202328 May 2023

Publication series

Name2023 4th International Conference for Emerging Technology, INCET 2023

Conference

Conference4th International Conference for Emerging Technology, INCET 2023
Country/TerritoryIndia
CityBelgaum
Period26/05/2328/05/23

Keywords

  • EV Charging station
  • Grid
  • Grid-to-Vehicle
  • Simulink
  • Vehicle-to-Grid

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Signal Processing
  • Information Systems and Management

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