Practical Implementation of Electric Vehicle Integration into a Microgrid using V2G and G2V

Zia Ullah, Muhammed Zeeshan, Shehab Ahmed

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

1 Scopus citations

Abstract

Vehicle-to-Grid (V2G) is an emerging technology that makes electric vehicles (EVs) an even more beneficial investment by using EVs as a mobile power grid. The integration of EVs with the microgrid requires several steps that include communication with the infrastructure (V2X) and bidirectional power electronic converters to exchange power with the grid. In this study, a complete structure of the EVs integration into the microgrid is demonstrated and implemented. Both V2G and G2V technologies using the integrated onboard bidirectional charger (IOBC) are performed to take and supply power to the grid. A mechanism of the available surplus power to the microgrid by several EVs is proposed. A detailed analysis of power management has been conducted by prioritizing renewable energy (EVs' power) in peak hours. The analysis is performed using a Typhoon-HIL microgrid testbed. Furthermore, the results are also verified by conducting experiments using a grid emulator.

Original languageEnglish (US)
Title of host publication2023 IEEE International Conference on Smart Mobility, SM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages160-165
Number of pages6
ISBN (Electronic)9798350312751
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Smart Mobility, SM 2023 - Thuwal, Saudi Arabia
Duration: Mar 19 2023Mar 21 2023

Publication series

Name2023 IEEE International Conference on Smart Mobility, SM 2023

Conference

Conference2023 IEEE International Conference on Smart Mobility, SM 2023
Country/TerritorySaudi Arabia
CityThuwal
Period03/19/2303/21/23

Keywords

  • electric vehicle
  • microgrid
  • V2G
  • V2X

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Transportation

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