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: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
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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| Summary: | 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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| ISSN: | 2267-1242 |