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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Main Authors: Errakkas Khalid, Kissaoui Mohammed, Lajouad Rachid, El Magri Abdelmounime, Atifi Youness, Khayat Ahmed
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
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.
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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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