A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system
Abstract This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying the horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics the...
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Nature Portfolio
2025-01-01
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| Online Access: | https://doi.org/10.1038/s41598-025-85481-6 |
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| author | AL-Wesabi Ibrahim Jiazhu Xu Imad Aboudrar Khaled Alwesabi Li danhu Hassan Z. Al Garni Elhachemi Mammeri Hossam Kotb Mohit Bajaj Shir Ahmad Dost Mohammadi |
| author_facet | AL-Wesabi Ibrahim Jiazhu Xu Imad Aboudrar Khaled Alwesabi Li danhu Hassan Z. Al Garni Elhachemi Mammeri Hossam Kotb Mohit Bajaj Shir Ahmad Dost Mohammadi |
| author_sort | AL-Wesabi Ibrahim |
| collection | DOAJ |
| description | Abstract This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying the horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics the motion cycles of an entire herd of horses. Next, the linear active disturbance rejection control (LADRC) was applied to monitor the HHOA’s reference voltage output. The LADRC, known for managing uncertainties and disturbances, improves the anti-interference capacity of the maximum power point tracking (MPPT) technique and speeds up the system’s response rate. Then, in comparison to the traditional method (perturb & observe; P&O) and metaheuristic algorithms (conventional particle swarm optimization; CPSO, grasshopper optimization; GHO, and deterministic PSO; DPSO) through DSEC, the simulations results demonstrate that the combination HHOA-LADRC can successfully track the global maximum peak (GMP) with less fluctuations and a quicker convergence time. Finally, the experimental investigation of the proposed HHOA-LADRC was accomplished with the NI PXIE-1071 Hardware-In-Loop (HIL) prototype. The output findings show that the effectiveness of the provided HHOA-LADRC may approach a value higher than 99%, showed a quicker rate of converging and less oscillations in power through the detection mechanism. |
| format | Article |
| id | doaj-art-7339222704334b99a8a001bec5a56562 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-7339222704334b99a8a001bec5a565622025-01-26T12:33:06ZengNature PortfolioScientific Reports2045-23222025-01-0115112510.1038/s41598-025-85481-6A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging systemAL-Wesabi Ibrahim0Jiazhu Xu1Imad Aboudrar2Khaled Alwesabi3Li danhu4Hassan Z. Al Garni5Elhachemi Mammeri6Hossam Kotb7Mohit Bajaj8Shir Ahmad Dost Mohammadi9College of Electrical and Information Engineering, Hunan UniversityCollege of Electrical and Information Engineering, Hunan UniversityEngineering and Sustainable Development Research Team, EST of Dakhla, Ibn Zohr UniversityCollege of Computer Science and Information Technology, Al-Razi UniversityCollege of Electrical and Information Engineering, Hunan UniversityDepartment of Electrical Engineering, Jubail Industrial CollegeLaboratory of Applied Automatic, Department of automation and electrification of industrial process, Faculty of Hydrocarbons and Chemistry, M’hamed Bougara University of BoumerdesDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria UniversityDepartment of Electrical Engineering, Graphic Era (Deemed to be University)Department of Electrical and Electronics, Faculty of Engineering, Alberoni UniversityAbstract This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying the horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics the motion cycles of an entire herd of horses. Next, the linear active disturbance rejection control (LADRC) was applied to monitor the HHOA’s reference voltage output. The LADRC, known for managing uncertainties and disturbances, improves the anti-interference capacity of the maximum power point tracking (MPPT) technique and speeds up the system’s response rate. Then, in comparison to the traditional method (perturb & observe; P&O) and metaheuristic algorithms (conventional particle swarm optimization; CPSO, grasshopper optimization; GHO, and deterministic PSO; DPSO) through DSEC, the simulations results demonstrate that the combination HHOA-LADRC can successfully track the global maximum peak (GMP) with less fluctuations and a quicker convergence time. Finally, the experimental investigation of the proposed HHOA-LADRC was accomplished with the NI PXIE-1071 Hardware-In-Loop (HIL) prototype. The output findings show that the effectiveness of the provided HHOA-LADRC may approach a value higher than 99%, showed a quicker rate of converging and less oscillations in power through the detection mechanism.https://doi.org/10.1038/s41598-025-85481-6Photovoltaic battery chargersMPPTOptimization techniquesDynamic and static environmental conditionsDynamic control |
| spellingShingle | AL-Wesabi Ibrahim Jiazhu Xu Imad Aboudrar Khaled Alwesabi Li danhu Hassan Z. Al Garni Elhachemi Mammeri Hossam Kotb Mohit Bajaj Shir Ahmad Dost Mohammadi A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system Scientific Reports Photovoltaic battery chargers MPPT Optimization techniques Dynamic and static environmental conditions Dynamic control |
| title | A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system |
| title_full | A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system |
| title_fullStr | A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system |
| title_full_unstemmed | A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system |
| title_short | A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system |
| title_sort | high speed mppt based horse herd optimization algorithm with dynamic linear active disturbance rejection control for pv battery charging system |
| topic | Photovoltaic battery chargers MPPT Optimization techniques Dynamic and static environmental conditions Dynamic control |
| url | https://doi.org/10.1038/s41598-025-85481-6 |
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