Issue |
E3S Web Conf.
Volume 591, 2024
International Conference on Renewable Energy Resources and Applications (ICRERA-2024)
|
|
---|---|---|
Article Number | 04004 | |
Number of page(s) | 10 | |
Section | Electrical Vehicle System | |
DOI | https://doi.org/10.1051/e3sconf/202459104004 | |
Published online | 14 November 2024 |
Energy Management System for EV Charging Infrastructure
1 Department of Computer Engineering,Vishwakarma Institute of Technology Pune India
2 Institute of Business Management, GLA University, Mathura, yogesh.kumar@gla.ac.in
3 Department of Mathematics, Christ University, Bengaluru, India. Email: subramani.r@christuniversity.in
4 Asst Professor,Department of IT,New Prince Shri Bhavani College of Engineering and Technology Chennai - 600073, Tamil nadu,India.jothi.e@newprinceshribhavani.com
5 Associate Professor,Department of EEE,Prince Shri Venkateshwara Padmavathy Engineering College, Chennai - 127.,a.s.valarmathy_eee@psvpec.in
6 Professor and Head, Mechanical Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune. sherje.nitin@gmail.com
7 Associate professor,Mohamed Sathak Engineering College, Kilakarai tharmar11585@gmail.com
The increasing adoption of electric vehicles (EVs) has led to a significant rise in the demand for efficient and sustainable charging infrastructure. Managing the energy supply to meet this growing demand while ensuring grid stability presents a critical challenge. This paper presents an energy management system designed for electric vehicle charging infrastructure that balances demand and supply in real time. The proposed system dynamically allocates available power to connected EVs based on their charging demands and the total power available, ensuring optimal utilization of energy resources. By simulating various scenarios, the system demonstrates its capability to prevent overloading, efficiently distribute power, and prioritize critical energy needs. The results of the simulation show that the system can effectively manage power distribution, reduce peak load impact, and enhance the reliability of EV charging networks. This approach offers a scalable and adaptable solution for integrating EVs into the existing power grid, contributing to the development of smart and sustainable transportation systems.
Key words: Energy Management Systems (EMS) / Electric Vehicle (EV) Charging / Demand-Supply Balancing / Smart Grid / Renewable Energy Integration / Real-Time Power Allocation
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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