| Issue |
E3S Web Conf.
Volume 601, 2025
The 3rd International Conference on Energy and Green Computing (ICEGC’2024)
|
|
|---|---|---|
| Article Number | 00018 | |
| Number of page(s) | 13 | |
| DOI | https://doi.org/10.1051/e3sconf/202560100018 | |
| Published online | 16 January 2025 | |
A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid
EEIS Laboratory, ENSET Mohammedia, Hassan II University of Casablanca, Morocco
* e-mail: khalid.errakkas@gmail.com
This study introduces a new method for controlling Direct Current (DC) freestanding microgrids using Model Predictive Control (MPC). It focuses on integrating photovoltaic systems, battery storage, and hydrogen energy storage. The framework is designed to enhance operational efficiency and stability, especially in isolated or non-grid connected regions. The research uses simulation techniques and empirical data analysis to simulate various scenarios, revealing significant improvements in microgrid performance. The results show greater energy efficiency, and enhanced storage durability. The study suggests expanding the model to larger grid systems and adapting to different hybrid energy situations. This contributes to the development of more environmentally friendly and robust energy systems.
© 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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