Integrating Electric Vehicles into Smart Grids: Exploring Bidirectional Charging and V2G Technologies

Aditya Maloo, R. Srividya, Ancy Princia Aranha, Ciji Pearl Kurian

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

Abstract

This paper presents the design, simulation, and analysis of a novel switch controlled bidirectional charging system for electric vehicles (EVs), focusing on both Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) operations. As the adoption of EVs accelerates, there is an increasing need to address the associated challenges of grid integration, power quality, and efficient energy management. The proposed system utilizes advanced control phase-locked loops (PLL) controller, to facilitate seamless energy flow between EV batteries and the power grid. Through MATLAB-Simulink simulations, the system's performance is validated, demonstrating stable voltage control, and efficient power transfer during both charging and discharging modes. The findings indicate that the bidirectional charging system significantly enhances grid stability and supports energy management, particularly during peak demand periods. This research contributes to the development of sustainable energy solutions, paving the way for the effective integration of EVs into the power-grid.

Original languageEnglish
Title of host publicationProceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference, DELCON 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331518592
DOIs
Publication statusPublished - 2024
Event3rd IEEE Delhi Section Flagship Conference, DELCON 2024 - New Delhi, India
Duration: 21-11-202423-11-2024

Publication series

NameProceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference, DELCON 2024

Conference

Conference3rd IEEE Delhi Section Flagship Conference, DELCON 2024
Country/TerritoryIndia
CityNew Delhi
Period21-11-2423-11-24

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Health Informatics
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence

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