A new hybrid method based on Fuzzy Logic for maximum power point tracking of Photovoltaic Systems
Solar panels have non-linear voltage–current features with only one distinctive point where maximum power is obtained. This optimal power point alters with oscillations in temperature and radiation intensity. Various techniques have been proposed for online, offline and hybrid maximum power point tr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484719313034 |
| _version_ | 1818591496628076544 |
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| author | Mohammad Hasan Parvaneh Pouria Goharshenasan Khorasani |
| author_facet | Mohammad Hasan Parvaneh Pouria Goharshenasan Khorasani |
| author_sort | Mohammad Hasan Parvaneh |
| collection | DOAJ |
| description | Solar panels have non-linear voltage–current features with only one distinctive point where maximum power is obtained. This optimal power point alters with oscillations in temperature and radiation intensity. Various techniques have been proposed for online, offline and hybrid maximum power point tracking. In this paper a new hybrid method based on fuzzy logic for maximum power point tracking of photovoltaic systems has been proposed. At first, this algorithm presents a comparison of two components, including work point calculation and accurate adjustment. Then, work point calculation estimates the maximum power point. Finally, accurate adjustment follows the accurate value of maximum power based on Fuzzy Logic (FL) method. The method proposed in this study is simulated in MATLAB/SIMULINK work space. The proposed method is able to improve the dynamic response and steady-state response of the PV systems and a comparison is made between the results of simulation and the existing techniques and the efficacy of the proposed method has been discussed. |
| first_indexed | 2024-12-16T10:13:22Z |
| format | Article |
| id | doaj.art-251360ebbb0f4f64be2b906cfd1c3d23 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-16T10:13:22Z |
| publishDate | 2020-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-251360ebbb0f4f64be2b906cfd1c3d232022-12-21T22:35:30ZengElsevierEnergy Reports2352-48472020-11-01616191632A new hybrid method based on Fuzzy Logic for maximum power point tracking of Photovoltaic SystemsMohammad Hasan Parvaneh0Pouria Goharshenasan Khorasani1West Regional Electrical Company, Kermanshah, Iran; Department of Electrical Engineering, Faculty of Engineering, Bu Ali Sina University, Hamadan, Iran; Corresponding author at: West Regional Electrical Company, Kermanshah, Iran.West Regional Electrical Company, Kermanshah, IranSolar panels have non-linear voltage–current features with only one distinctive point where maximum power is obtained. This optimal power point alters with oscillations in temperature and radiation intensity. Various techniques have been proposed for online, offline and hybrid maximum power point tracking. In this paper a new hybrid method based on fuzzy logic for maximum power point tracking of photovoltaic systems has been proposed. At first, this algorithm presents a comparison of two components, including work point calculation and accurate adjustment. Then, work point calculation estimates the maximum power point. Finally, accurate adjustment follows the accurate value of maximum power based on Fuzzy Logic (FL) method. The method proposed in this study is simulated in MATLAB/SIMULINK work space. The proposed method is able to improve the dynamic response and steady-state response of the PV systems and a comparison is made between the results of simulation and the existing techniques and the efficacy of the proposed method has been discussed.http://www.sciencedirect.com/science/article/pii/S2352484719313034Maximum power point tracking (MPPT)Photovoltaic systemShort Circuit Current (SCC)Fuzzy Logic (FL) |
| spellingShingle | Mohammad Hasan Parvaneh Pouria Goharshenasan Khorasani A new hybrid method based on Fuzzy Logic for maximum power point tracking of Photovoltaic Systems Energy Reports Maximum power point tracking (MPPT) Photovoltaic system Short Circuit Current (SCC) Fuzzy Logic (FL) |
| title | A new hybrid method based on Fuzzy Logic for maximum power point tracking of Photovoltaic Systems |
| title_full | A new hybrid method based on Fuzzy Logic for maximum power point tracking of Photovoltaic Systems |
| title_fullStr | A new hybrid method based on Fuzzy Logic for maximum power point tracking of Photovoltaic Systems |
| title_full_unstemmed | A new hybrid method based on Fuzzy Logic for maximum power point tracking of Photovoltaic Systems |
| title_short | A new hybrid method based on Fuzzy Logic for maximum power point tracking of Photovoltaic Systems |
| title_sort | new hybrid method based on fuzzy logic for maximum power point tracking of photovoltaic systems |
| topic | Maximum power point tracking (MPPT) Photovoltaic system Short Circuit Current (SCC) Fuzzy Logic (FL) |
| url | http://www.sciencedirect.com/science/article/pii/S2352484719313034 |
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