Issue |
E3S Web Conf.
Volume 616, 2025
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
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Article Number | 01006 | |
Number of page(s) | 9 | |
Section | Renewable Energy | |
DOI | https://doi.org/10.1051/e3sconf/202561601006 | |
Published online | 24 February 2025 |
Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply
1 Department of CSE-AI&ML, MLR Institute of Technology, Hyderabad, Telangana, India
2 Department of Applied Sciences, New Horizon College of Engineering, Bangalore, India
3 Lloyd Law College, Plot No. 11, Knowledge Park II, Greater Noida, Uttar Pradesh 201310
4 Lovely Professional University, Phagwara, India
5 Medical Technology, The Islamic University, Najaf, Iraq
6 Department of Electrical & Electronics Engineering, Galgotias College of Engineering & Technology, Greater Noida, India
* Corresponding Author: Bodhas@gmail.com
This study is concerned with the coordinated charging pattern of plugin electric vehicles (PEVs) by using a simulation and control framework. The first of these is to develop a novel control technique based on a grid structure to manage the charging power of PEVs in reaction to fluctuating renewable energy sources. The grid is assumed to control and communicate instantly and directly through a common control signal the electricity used for PEV charging. Based on the principle of market-based demand modeling, the subsequent theoretical formulation involves a system of partial differential equations for concurrent PEV charging. It is then applied to future real world driving data and compared to a PEV Monte Carlo model. Moreover, the principles of SM control are introduced to synthesize the robust output feedback controller for the system without state error. The fluctuating PEV count is addressed by focusing on the sole observable output: the instantaneous mismatch of supply and demand of renewable electricity by customers. The performance of the controller is evaluated in the present research based on a real wind power state trajectory through numerical simulations of the system.
© The Authors, published by EDP Sciences, 2025
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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