Issue |
E3S Web Conf.
Volume 591, 2024
International Conference on Renewable Energy Resources and Applications (ICRERA-2024)
|
|
---|---|---|
Article Number | 05003 | |
Number of page(s) | 12 | |
Section | Grid Connected Power Generation Systems with RER | |
DOI | https://doi.org/10.1051/e3sconf/202459105003 | |
Published online | 14 November 2024 |
Innovative Control Approaches for Efficient Power Management in Hybrid Renewable Energy Resource Microgrids
1 Vels Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, India.
2 Department of Electronics & Communication Engineering, GLA University, Mathura, saloni.bansal@gla.ac.in
3 Department of Computer Engineering,Vishwakarma Institute of Technology Pune India dhiraj.jadhav@vit.edu
4 Associate Professor,Department of ECE,Prince Shri Venkateshwara Padmavathy Engineering College, Chennai - 127.,k.k.senthilkumar_ece@psvpec.in
5 Asso Professor,Department of ECE,New Prince Shri Bhavani College of Engineering and Technology Chennai - 600073, Tamil nadu,India,dhilip.r@newprinceshribhavani.com
6 Bharati Vidyapeeth’s college of Engineering for women, Pune avinash.m.pawar@bharatividyapeeth.edu
7 AAA College of Engineering and Technology, Sivakasi, Tamil Nadu, India - 626005 vivekmsucse@gmail.com
Hybrid renewable energy resource (RER) microgrids offer a sustainable solution to integrating multiple energy sources like solar and wind into modern power systems. However, managing the intermittent nature of these resources presents significant challenges in maintaining stable and efficient power distribution. This study explores innovative control approaches for optimizing power management in hybrid RER microgrids. By utilizing advanced algorithms, including real-time optimization and machine learning techniques, the proposed framework ensures efficient energy distribution, reduces dependency on the grid, and enhances system stability. The research focuses on integrating these control strategies to balance energy supply and demand while maximizing the utilization of renewable energy sources. Simulation results demonstrate the effectiveness of the proposed methods in improving system efficiency and reliability under varying environmental conditions, contributing to the broader adoption of hybrid RER microgrids.
Key words: Hybrid renewable energy / power management / control strategies / energy optimization / microgrids
© 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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