Gebresenbet, Girma
- Department of Energy and Technology, Swedish University of Agricultural Sciences
Abstract
The integration of vehicle-to-grid (V2G), grid-to-vehicle (G2V), and vehicle-to-everything (V2X) systems into an energy ecosystem represents a transformative approach. These systems enable bidirectional energy flow between electric vehicles (EVs), power grids, and other entities. In this study, the energy sources for the V2G, G2V, and V2X systems were derived from green and blue energies, emphasizing sustainability. The primary objective of this research is to optimize V2G, G2V, and V2X systems, focusing on enhancing their performance. The novel contribution of this work lies in the application of advanced optimization techniques, specifically Artificial Bee Colony Optimization (ABCO), to improve system efficiency and stability. The system was simulated in MATLAB, where ABCO achieved a 64.5% improvement in reactive power optimization over Brain Emotional Intelligent Control (BEIC). This result underscores the effectiveness of ABCO in optimizing energy exchange within the V2G, G2V, and V2X systems, confirming its suitability for these applications. These findings highlight the potential of ABCO to enhance the performance of V2G, G2V, and V2X systems, contributing to a more sustainable, resilient, and efficient energy ecosystem.
Keywords
green energy; vehicle-to-grid; grid-to-vehicle; vehicle-to-everything; Bee Colony Optimization
Published in
Energies
2025, volume: 18, number: 8, article number: 2046
Publisher: MDPI
SLU Authors
UKÄ Subject classification
Energy Systems
Publication identifier
- DOI: https://doi.org/10.3390/en18082046
Permanent link to this page (URI)
https://res.slu.se/id/publ/142548