A multi-agent system approach for real-time energy management and control in hybrid low-voltage microgrids
The real-time operation of microgrids is crucial due to its ability to enhance energy resilience and efficiency. Continuous monitoring and adaptation to fluctuations in energy supply and demand ensure a stable and reliable electricity supply to local communities, even in the case of grid disturbance...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024012908 |
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| author | Doha El Hafiane Abdelmounime El Magri Houssam Eddine Chakir Rachid Lajouad Soukaina Boudoudouh |
| author_facet | Doha El Hafiane Abdelmounime El Magri Houssam Eddine Chakir Rachid Lajouad Soukaina Boudoudouh |
| author_sort | Doha El Hafiane |
| collection | DOAJ |
| description | The real-time operation of microgrids is crucial due to its ability to enhance energy resilience and efficiency. Continuous monitoring and adaptation to fluctuations in energy supply and demand ensure a stable and reliable electricity supply to local communities, even in the case of grid disturbances. This article presents an efficient and easily implementable real-time energy management and control system based on multi-agent systems for hybrid Low-Voltage Micro-Grids (LVMGs) using energy storage systems and renewable sources. The main objective of the proposed approach is to determine optimal setpoints for all microgrid components to improve overall efficiency and reduce electricity costs while satisfying multiple constraints. The well-defined flexibilities of all microgrid components to adjust their power are exploited to achieve optimal power allocation. The approach is tested and validated by developing a simulation environment using the Java Agent Development (JADE) framework, enabling the implementation of microgrid optimization through MATLAB/Simulink. |
| format | Article |
| id | doaj-art-bd5ae7c29c79427eaf9fa032bcd0de33 |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-bd5ae7c29c79427eaf9fa032bcd0de332024-12-19T10:57:52ZengElsevierResults in Engineering2590-12302024-12-0124103035A multi-agent system approach for real-time energy management and control in hybrid low-voltage microgridsDoha El Hafiane0Abdelmounime El Magri1Houssam Eddine Chakir2Rachid Lajouad3Soukaina Boudoudouh4EEIS Lab, ENSET, Hassan II University of Casablanca, Casablanca, Morocco; Corresponding author.EEIS Lab, ENSET, Hassan II University of Casablanca, Casablanca, MoroccoEEIS Lab, ENSET, Hassan II University of Casablanca, Casablanca, MoroccoEEIS Lab, ENSET, Hassan II University of Casablanca, Casablanca, MoroccoInstitut de Recherche en Energie Solaire et Energies Nouvelles (IRESEN), Rabat, MoroccoThe real-time operation of microgrids is crucial due to its ability to enhance energy resilience and efficiency. Continuous monitoring and adaptation to fluctuations in energy supply and demand ensure a stable and reliable electricity supply to local communities, even in the case of grid disturbances. This article presents an efficient and easily implementable real-time energy management and control system based on multi-agent systems for hybrid Low-Voltage Micro-Grids (LVMGs) using energy storage systems and renewable sources. The main objective of the proposed approach is to determine optimal setpoints for all microgrid components to improve overall efficiency and reduce electricity costs while satisfying multiple constraints. The well-defined flexibilities of all microgrid components to adjust their power are exploited to achieve optimal power allocation. The approach is tested and validated by developing a simulation environment using the Java Agent Development (JADE) framework, enabling the implementation of microgrid optimization through MATLAB/Simulink.http://www.sciencedirect.com/science/article/pii/S2590123024012908Energy managementIntegrated energy systemsReal-time controlEnergy efficiencyEnergy optimizationSmart grids |
| spellingShingle | Doha El Hafiane Abdelmounime El Magri Houssam Eddine Chakir Rachid Lajouad Soukaina Boudoudouh A multi-agent system approach for real-time energy management and control in hybrid low-voltage microgrids Results in Engineering Energy management Integrated energy systems Real-time control Energy efficiency Energy optimization Smart grids |
| title | A multi-agent system approach for real-time energy management and control in hybrid low-voltage microgrids |
| title_full | A multi-agent system approach for real-time energy management and control in hybrid low-voltage microgrids |
| title_fullStr | A multi-agent system approach for real-time energy management and control in hybrid low-voltage microgrids |
| title_full_unstemmed | A multi-agent system approach for real-time energy management and control in hybrid low-voltage microgrids |
| title_short | A multi-agent system approach for real-time energy management and control in hybrid low-voltage microgrids |
| title_sort | multi agent system approach for real time energy management and control in hybrid low voltage microgrids |
| topic | Energy management Integrated energy systems Real-time control Energy efficiency Energy optimization Smart grids |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024012908 |
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