Research Article
Integrating Renewable Energy Sources with Electric Vehicle Infrastructure for Enhanced Renewability
@INPROCEEDINGS{10.4108/eai.5-1-2024.2342575, author={Abdussalam Ali Ahmed and Abdulgader Alsharif and Mohammed Khaleel and Yassar F. Nassar and Adel Obelaid and Mohit Bajaj and Ankit Bhatt and Subhashree Choudhury}, title={Integrating Renewable Energy Sources with Electric Vehicle Infrastructure for Enhanced Renewability}, proceedings={Proceedings of the EAI 3rd International Conference on Intelligent Systems and Machine Learning, ICISML 2024, January 5-6, 2024, Pune, India}, publisher={EAI}, proceedings_a={ICISML}, year={2024}, month={8}, keywords={ress ev bt ref matlab}, doi={10.4108/eai.5-1-2024.2342575} }
- Abdussalam Ali Ahmed
Abdulgader Alsharif
Mohammed Khaleel
Yassar F. Nassar
Adel Obelaid
Mohit Bajaj
Ankit Bhatt
Subhashree Choudhury
Year: 2024
Integrating Renewable Energy Sources with Electric Vehicle Infrastructure for Enhanced Renewability
ICISML
EAI
DOI: 10.4108/eai.5-1-2024.2342575
Abstract
This study proposes a model system that integrates utility grid integration, batteries, and renewable energy sources (RESs) with electric vehicles (EVs). The aforementioned hybrid micro grid system model was created with the goal of maximizing the Renewable Energy Fraction (REF) as the primary goal of this study. Based on the integration of the aforementioned components, green energy may be produced; nevertheless, the distribution system may be jeopardized if not correctly controlled. The climatology data and load demand data were collected from the PVWatt that established by International Renewable Energy Agency (IRENA). The paper presents the hybrid system development and implantation of the microgrid system integration for exchanging energy in the purpose of charging and discharging in bidirectional way. These examination cases have been simulated, results, and analyzed using sophisticated simulation tool namely MATLAB R2021a. as result, the objective function has as renewability has been achieved with maximum value of 50 %.