A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment
Abstract This paper introduces an innovative, adaptive Fractional Open-Circuit Voltage (FOCV) algorithm combined with a robust Improved Model Reference Adaptive Controller (IMRAC) for Maximum Power Point Tracking (MPPT) in standalone photovoltaic (PV) systems. The proposed two-stage control strategy...
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| Format: | Article |
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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/s41598-024-83512-2 |
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| author | Hamid Belghiti Khalid Kandoussi Ambe Harrison Fatima Zahra Moustaine Rabie El Otmani El Mostafa Sadek Mohit Bajaj Shir Ahmad Dost Mohammadi |
| author_facet | Hamid Belghiti Khalid Kandoussi Ambe Harrison Fatima Zahra Moustaine Rabie El Otmani El Mostafa Sadek Mohit Bajaj Shir Ahmad Dost Mohammadi |
| author_sort | Hamid Belghiti |
| collection | DOAJ |
| description | Abstract This paper introduces an innovative, adaptive Fractional Open-Circuit Voltage (FOCV) algorithm combined with a robust Improved Model Reference Adaptive Controller (IMRAC) for Maximum Power Point Tracking (MPPT) in standalone photovoltaic (PV) systems. The proposed two-stage control strategy enhances energy efficiency, simplifies system operation, and addresses limitations in conventional MPPT methods, such as slow convergence, high oscillations, and susceptibility to environmental fluctuations. The first stage dynamically estimates the Maximum Power Point (MPP) voltage using a novel adaptive FOCV method, which eliminates the need for irradiance sensors or physical disconnection of PV modules. This stage incorporates a real-time adjustment of the kv factor based on variations in PV power, ensuring precise voltage estimation. In the second stage, the IMRAC controller ensures accurate tracking of the MPP by adapting swiftly to changes in irradiance and temperature, while minimizing ripple and power loss. Validation of the proposed system was carried out using Processor-in-the-Loop (PIL) testing on an Arduino Due microcontroller, showcasing real-world applicability. Comparative analysis with state-of-the-art MPPT controllers, including P&O-PI, InC-SMC, FLC, and VS P&O Backstepping, demonstrates superior tracking efficiency exceeding 99.49% under EN 50,530 standard test conditions. The system also maintains exceptional performance with minimal efficiency loss across a wide range of temperature and irradiance variations. By combining simplicity, robustness, and sustainability, this work establishes a cutting-edge solution for standalone PV systems, paving the way for more efficient and reliable renewable energy applications. |
| format | Article |
| id | doaj-art-c75939ab203143b897d18f5aeabc6c22 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-c75939ab203143b897d18f5aeabc6c222025-01-05T12:29:41ZengNature PortfolioScientific Reports2045-23222024-12-0114112210.1038/s41598-024-83512-2A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessmentHamid Belghiti0Khalid Kandoussi1Ambe Harrison2Fatima Zahra Moustaine3Rabie El Otmani4El Mostafa Sadek5Mohit Bajaj6Shir Ahmad Dost Mohammadi7Laboratory of Engineering Sciences for Energy, National School of Applied Sciences, University of Chouaib DoukkaliLaboratory of Engineering Sciences for Energy, National School of Applied Sciences, University of Chouaib DoukkaliDepartment of Electrical and Electronics Engineering, College of Technology (COT), University of BueaLaboratory of Materials and Renewable Energies, Faculty of Sciences of Agadir, Ibn Zohr UniversityLaboratory of Engineering Sciences for Energy, National School of Applied Sciences, University of Chouaib DoukkaliLaboratory of Engineering Sciences for Energy, National School of Applied Sciences, University of Chouaib DoukkaliDepartment of Electrical Engineering, Graphic Era (Deemed to be University)Department of Electrical and Electronics, Faculty of Engineering, Alberoni UniversityAbstract This paper introduces an innovative, adaptive Fractional Open-Circuit Voltage (FOCV) algorithm combined with a robust Improved Model Reference Adaptive Controller (IMRAC) for Maximum Power Point Tracking (MPPT) in standalone photovoltaic (PV) systems. The proposed two-stage control strategy enhances energy efficiency, simplifies system operation, and addresses limitations in conventional MPPT methods, such as slow convergence, high oscillations, and susceptibility to environmental fluctuations. The first stage dynamically estimates the Maximum Power Point (MPP) voltage using a novel adaptive FOCV method, which eliminates the need for irradiance sensors or physical disconnection of PV modules. This stage incorporates a real-time adjustment of the kv factor based on variations in PV power, ensuring precise voltage estimation. In the second stage, the IMRAC controller ensures accurate tracking of the MPP by adapting swiftly to changes in irradiance and temperature, while minimizing ripple and power loss. Validation of the proposed system was carried out using Processor-in-the-Loop (PIL) testing on an Arduino Due microcontroller, showcasing real-world applicability. Comparative analysis with state-of-the-art MPPT controllers, including P&O-PI, InC-SMC, FLC, and VS P&O Backstepping, demonstrates superior tracking efficiency exceeding 99.49% under EN 50,530 standard test conditions. The system also maintains exceptional performance with minimal efficiency loss across a wide range of temperature and irradiance variations. By combining simplicity, robustness, and sustainability, this work establishes a cutting-edge solution for standalone PV systems, paving the way for more efficient and reliable renewable energy applications.https://doi.org/10.1038/s41598-024-83512-2Sensorless MPPTAdaptive FOCVRobust IMRAC controlStandalone PV systemsRenewable energyMaximum power point tracking |
| spellingShingle | Hamid Belghiti Khalid Kandoussi Ambe Harrison Fatima Zahra Moustaine Rabie El Otmani El Mostafa Sadek Mohit Bajaj Shir Ahmad Dost Mohammadi A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment Scientific Reports Sensorless MPPT Adaptive FOCV Robust IMRAC control Standalone PV systems Renewable energy Maximum power point tracking |
| title | A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment |
| title_full | A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment |
| title_fullStr | A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment |
| title_full_unstemmed | A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment |
| title_short | A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment |
| title_sort | novel adaptive focv algorithm with robust imrac control for sustainable and high efficiency mppt in standalone pv systems experimental validation and performance assessment |
| topic | Sensorless MPPT Adaptive FOCV Robust IMRAC control Standalone PV systems Renewable energy Maximum power point tracking |
| url | https://doi.org/10.1038/s41598-024-83512-2 |
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