A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid
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...
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Format: | Article |
Language: | English |
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EDP Sciences
2025-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00018.pdf |
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author | Errakkas Khalid Kissaoui Mohammed Lajouad Rachid El Magri Abdelmounime Atifi Youness Khayat Ahmed |
author_facet | Errakkas Khalid Kissaoui Mohammed Lajouad Rachid El Magri Abdelmounime Atifi Youness Khayat Ahmed |
author_sort | Errakkas Khalid |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-b2deee8752e84957b8f4b930792bc1f4 |
institution | Kabale University |
issn | 2267-1242 |
language | English |
publishDate | 2025-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj-art-b2deee8752e84957b8f4b930792bc1f42025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010001810.1051/e3sconf/202560100018e3sconf_icegc2024_00018A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded MicrogridErrakkas Khalid0Kissaoui Mohammed1Lajouad Rachid2El Magri Abdelmounime3Atifi Youness4Khayat Ahmed5EEIS Laboratory, ENSET Mohammedia, Hassan II University of CasablancaEEIS Laboratory, ENSET Mohammedia, Hassan II University of CasablancaEEIS Laboratory, ENSET Mohammedia, Hassan II University of CasablancaEEIS Laboratory, ENSET Mohammedia, Hassan II University of CasablancaEEIS Laboratory, ENSET Mohammedia, Hassan II University of CasablancaEEIS Laboratory, ENSET Mohammedia, Hassan II University of CasablancaThis 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00018.pdf |
spellingShingle | Errakkas Khalid Kissaoui Mohammed Lajouad Rachid El Magri Abdelmounime Atifi Youness Khayat Ahmed A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid E3S Web of Conferences |
title | A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid |
title_full | A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid |
title_fullStr | A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid |
title_full_unstemmed | A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid |
title_short | A Model Predictive Control Strategy for improvement Performance in PV-Battery-Hydrogen DC Islanded Microgrid |
title_sort | model predictive control strategy for improvement performance in pv battery hydrogen dc islanded microgrid |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00018.pdf |
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