Optimizing Electric Vehicle Charging Through a Real-Time Control Mechanism

Jacco Reuling*, Bart Nijenhuis, Gerwin Hoogsteen, Johann L. Hurink

*Corresponding author for this work

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

Abstract

This paper explores an integrated approach combining real-time and predictive control mechanisms to manage electric vehicle charging in alignment with solar energy availability. By utilizing predictive control and a Real-Time Control Mechanism (RCM), the challenges posed by the variability of solar power and the increasing demand for EV charging are addressed. Through simulations and field tests, the proposed strategy demonstrates its ability to reduce peak grid loads, enhance self-sufficiency, and improve self-consumption, while maintaining user satisfaction. The findings indicate that integrating real-time adjustments with predictive EV charging scheduling can significantly contribute to a more stable and efficient grid.

Original languageEnglish
Title of host publicationIEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024
EditorsNinoslav Holjevac, Tomislav Baskarad, Matija Zidar, Igor Kuzle
PublisherIEEE
ISBN (Electronic)9789531842976
DOIs
Publication statusPublished - 11 Feb 2025
Event2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024 - Dubrovnik, Croatia
Duration: 14 Oct 202417 Oct 2024

Publication series

NameIEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024

Conference

Conference2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024
Abbreviated titleISGT EUROPE
Country/TerritoryCroatia
CityDubrovnik
Period14/10/2417/10/24

Keywords

  • 2025 OA procedure
  • energy management
  • energy transition
  • smart charging
  • electric vehicles

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