Efficient Energy Management of Hybrid Renewable Power Generation Based on Charging Station Demand
| Authors | Muthu Kumaran C, Geetha Anbazhagan |
| Affiliations |
Department of Electrical and Electronics Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu 603203, India |
| Е-mail | geethaa2@srmist.edu.in |
| Issue | Volume 17, Year 2025, Number 6 |
| Dates | Received 02 August 2025; revised manuscript received 17 December 2025; published online 19 December 2025 |
| Citation | Muthu Kumaran C, Geetha Anbazhagan, J. Nano- Electron. Phys. 17 No 6, 06011 (2025) |
| DOI | https://doi.org/10.21272/jnep.17(6).06011 |
| PACS Number(s) | 07.05.Mh, 88.05.Gh |
| Keywords | Hybrid renewable energy, IEVCS, Fuzzy logic, Load forecast, EV scheduling, Demand analysis. |
| Annotation |
Resources for energy are very important for the existence of mankind. The choice of power generation methods and their economic feasibility vary depending on the demand and geographical region. The scarcity of charging stations is the major obstacle in the adoption of electric vehicles. This research suggests the implementation of integrated charging stations powered by hybrid solar and wind energy and an algorithm that optimizes energy management. The proposed charging station that utilizes a hybrid renewable energy source has been enhanced by the implementation of simulation done on MATLAB based on a fuzzy logic inference controller system. The ultimate aim focuses on reducing the need for charging and optimizing the use of hybrid renewable energy sources through effective management of power generation, power utilization, distribution, charging timelines, demand and electric vehicle power consumption. When compared to the demand, the results demonstrate that the suggested algorithm leads to a reduction in energy demand and management. The efficiency of the system increased to 95.3% in utilization of renewable energy, 93.2% in usage of storage batteries and decreased to 5.7% in loss of energy to build this system for the transfer of energy in balanced and effective power management. |
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List of References |
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