Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach
Abstract This research paper discusses a wind turbine system and its integration in remote locations using a hybrid power optimization approach and a hybrid storage system. Wind turbine systems’ optimization controllers operate MPPT strategies efficiently, optimizing the system’s overall performance...
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-78847-9 |
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| author | D. Rekioua N. Mezzai Z. Mokrani A. Oubelaid K. Kakouche P. O Logerais Muhannad Alshareef Mohit Bajaj Milkias Berhanu Tuka Sherif S. M. Ghoneim |
| author_facet | D. Rekioua N. Mezzai Z. Mokrani A. Oubelaid K. Kakouche P. O Logerais Muhannad Alshareef Mohit Bajaj Milkias Berhanu Tuka Sherif S. M. Ghoneim |
| author_sort | D. Rekioua |
| collection | DOAJ |
| description | Abstract This research paper discusses a wind turbine system and its integration in remote locations using a hybrid power optimization approach and a hybrid storage system. Wind turbine systems’ optimization controllers operate MPPT strategies efficiently, optimizing the system’s overall performance. The proposed approach is HTb(P&O/FLC), which combines the P&O and FLC methods. This innovative hybrid MPPT strategy takes advantage of the two methods. It maximizes the wind power thus minimizing stress on the storage system. For storage, batteries are important in isolated renewable energy systems due the interminent renewable sources. Unfortunately, they have some drawbacks as lower energy density, and limited charge-discharge. Besides, supercapacitors (SCs) have advantages as quick charging and discharging and long cycle life and some drawbacks as lower energy density and specific voltage requirements. This paper proposes a hybrid storage system combining batteries and SCs. To manage the two storage technologies, an effective algorithm isproposed focusing on managing their storage systems. The findings indicate that the proposed strategy effectively maintains the state of charge (SOC) of both the batteries and SCs in the intended limits. Simulation under MATLAB and Real-time with RT-LAB were carried out to validate the proposed control approach for the wind turbine system. |
| format | Article |
| id | doaj-art-2a8900dcff054e21aacd7ccc29e493b6 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-2a8900dcff054e21aacd7ccc29e493b62025-08-20T02:30:58ZengNature PortfolioScientific Reports2045-23222024-12-0114113010.1038/s41598-024-78847-9Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approachD. Rekioua0N. Mezzai1Z. Mokrani2A. Oubelaid3K. Kakouche4P. O Logerais5Muhannad Alshareef6Mohit Bajaj7Milkias Berhanu Tuka8Sherif S. M. Ghoneim9Université de Bejaia, Faculté de Technologie, Laboratoire de Technologie Industrielle et de l’InformationUniversité de Bejaia, Faculté de Technologie, Laboratoire de Technologie Industrielle et de l’InformationUniversité de Bejaia, Faculté de Technologie, Laboratoire de Technologie Industrielle et de l’InformationUniversité de Bejaia, Faculté de Technologie, Laboratoire de Technologie Industrielle et de l’InformationUniversité de Bejaia, Faculté de Technologie, Laboratoire de Technologie Industrielle et de l’InformationUniv Paris Est Créteil, CERTES, IUT de Sénart-FontainebleauDepartment of Electrical Engineering, College of Engineering and Computing in Al-Qunfudhah, Umm al-Qura UniversityDepartment of Electrical Engineering, Graphic Era (Deemed to be University)Department of Electrical and Computer Engineering, College of Engineering, Sustainable Energy Center of Excellence, Addis Ababa Science and Technology UniversityDepartment of Electrical Engineering, College of Engineering, Taif UniversityAbstract This research paper discusses a wind turbine system and its integration in remote locations using a hybrid power optimization approach and a hybrid storage system. Wind turbine systems’ optimization controllers operate MPPT strategies efficiently, optimizing the system’s overall performance. The proposed approach is HTb(P&O/FLC), which combines the P&O and FLC methods. This innovative hybrid MPPT strategy takes advantage of the two methods. It maximizes the wind power thus minimizing stress on the storage system. For storage, batteries are important in isolated renewable energy systems due the interminent renewable sources. Unfortunately, they have some drawbacks as lower energy density, and limited charge-discharge. Besides, supercapacitors (SCs) have advantages as quick charging and discharging and long cycle life and some drawbacks as lower energy density and specific voltage requirements. This paper proposes a hybrid storage system combining batteries and SCs. To manage the two storage technologies, an effective algorithm isproposed focusing on managing their storage systems. The findings indicate that the proposed strategy effectively maintains the state of charge (SOC) of both the batteries and SCs in the intended limits. Simulation under MATLAB and Real-time with RT-LAB were carried out to validate the proposed control approach for the wind turbine system.https://doi.org/10.1038/s41598-024-78847-9Wind turbineBatteriesSupercapacitorOptimal controlHybrid MPPTPower management control |
| spellingShingle | D. Rekioua N. Mezzai Z. Mokrani A. Oubelaid K. Kakouche P. O Logerais Muhannad Alshareef Mohit Bajaj Milkias Berhanu Tuka Sherif S. M. Ghoneim Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach Scientific Reports Wind turbine Batteries Supercapacitor Optimal control Hybrid MPPT Power management control |
| title | Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach |
| title_full | Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach |
| title_fullStr | Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach |
| title_full_unstemmed | Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach |
| title_short | Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach |
| title_sort | effective optimal control of a wind turbine system with hybrid energy storage and hybrid mppt approach |
| topic | Wind turbine Batteries Supercapacitor Optimal control Hybrid MPPT Power management control |
| url | https://doi.org/10.1038/s41598-024-78847-9 |
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