Proceedings of the EAI 3rd International Conference on Intelligent Systems and Machine Learning, ICISML 2024, January 5-6, 2024, Pune, India

Research Article

Strategic Renewable Energy Source Integration for Charging Stations in Plugin Hybrid Electric Vehicle Networks

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  • @INPROCEEDINGS{10.4108/eai.5-1-2024.2342576,
    author={Abdussalam Ali Ahmed and Abdulgader  Alsharif and Mohammed  Khaleel and Yassar F. Nassar and Adel  Obelaid and Subhashree  Choudhury and Ankit  Bhatt and Mohit  Bajaj},
    title={Strategic Renewable Energy Source Integration for Charging Stations in Plugin Hybrid Electric Vehicle Networks },
    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={optimal allocation renewable energy sources electric vehicle energy management strategies demand response},
    doi={10.4108/eai.5-1-2024.2342576}
}
  • Abdussalam Ali Ahmed
    Abdulgader Alsharif
    Mohammed Khaleel
    Yassar F. Nassar
    Adel Obelaid
    Subhashree Choudhury
    Ankit Bhatt
    Mohit Bajaj
    Year: 2024
    Strategic Renewable Energy Source Integration for Charging Stations in Plugin Hybrid Electric Vehicle Networks
    ICISML
    EAI
    DOI: 10.4108/eai.5-1-2024.2342576
Abdussalam Ali Ahmed1, Abdulgader Alsharif2, Mohammed Khaleel3, Yassar F. Nassar4, Adel Obelaid5, Subhashree Choudhury6,*, Ankit Bhatt7, Mohit Bajaj7
  • 1: Mechanical Engineering Department, Faculty of Engineering, Bani Waleed University, Bani Walid, Libya
  • 2: Department of Electrical and Electronic Engineering, Faculty of Technical Sciences, Sebha-Sebha-Libya
  • 3: Research and Development Department, College of Civil Aviation, Misrata, Libya
  • 4: Mechanical & Renewable energy. Engineering Department., Wadi Alshatti University, Brack-Libya
  • 5: Laboratoire de Technologie Industrielle et de l'Information, Faculté de Technologie, Université de Bejaia, 06000, Bejaia, Algeria
  • 6: ITER/ Siksha O Anusandhan Deemed to be University
  • 7: Department of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun-248002, India
*Contact email: subhashreechoudhury@soa.ac.in

Abstract

The optimal allocation of Renewable Energy Sources (RESs) along with Electric Vehicle (EV) charge stations aims to maximize the utilization and efficiency of renewable energy while accommodating the charging requirements of EVs. The EVs in charging station using RESs could reduce the dependency on the utility grid, however, duety challenges are faced when the numer of arrivals and departure EVs are not managed well wich may be addressed by Energy Management Strategies (EMSs) which improve the deployment of Demand Response (DR). This involves strategically determining the suitable locations and capacities for both renewable energy generation facilities and EV charge stations. The allocation mechanism takes into account aspects such as energy demand, renewable energy availability, infrastructural constraints, and charging patterns by employing complex algorithms and optimisation approaches. The goal is to reduce energy waste, gearbox costs, and carbon footprint while guaranteeing a consistent and sustainable energy supply for electric vehicle charging.

Keywords
optimal allocation renewable energy sources electric vehicle energy management strategies demand response
Published
2024-08-07
Publisher
EAI
http://dx.doi.org/10.4108/eai.5-1-2024.2342576
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