Improvement of photovoltaic systems with tracking of the maximum power point in low-irradiation atmospheric conditions
This paper discusses the efficient use of photovoltaic energy in areas with low solar irradiation. To extract the maximum power at low irradiation, we used a maximum power point tracking (MPPT) algorithm based on the combination of fuzzy logic (FL) and the sliding mode (SM) associated with a Proport...
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| Format: | Article |
| Language: | English |
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Indonesian Institute of Sciences
2023-12-01
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| Series: | Jurnal Elektronika dan Telekomunikasi |
| Subjects: | |
| Online Access: | https://www.jurnalet.com/jet/article/view/544 |
| _version_ | 1797363785359425536 |
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| author | Dieudonné Marcel Djanssou Dadjé Abdouramani Fabrice Kwefeu Mbakop Noël Djongyang |
| author_facet | Dieudonné Marcel Djanssou Dadjé Abdouramani Fabrice Kwefeu Mbakop Noël Djongyang |
| author_sort | Dieudonné Marcel Djanssou |
| collection | DOAJ |
| description | This paper discusses the efficient use of photovoltaic energy in areas with low solar irradiation. To extract the maximum power at low irradiation, we used a maximum power point tracking (MPPT) algorithm based on the combination of fuzzy logic (FL) and the sliding mode (SM) associated with a Proportionnel-Intégral (PI) regulator. The system parameters are calculated using the particle swarm optimization (PSO) technique, which thus ensures the stability of the controller. The performance of the proposed technique is compared with the conventional perturb and observe (P&O) technique in terms of tracking time and tracking efficiency at low irradiation. The simulation results prove that the technique has high tracking efficiency and less convergence time under low irradiation, with fewer power oscillations, low ripple and no overshoot. |
| first_indexed | 2024-03-08T16:25:56Z |
| format | Article |
| id | doaj.art-1589829ec7b342c8b36e75cb7dc587d6 |
| institution | Directory Open Access Journal |
| issn | 1411-8289 2527-9955 |
| language | English |
| last_indexed | 2024-03-08T16:25:56Z |
| publishDate | 2023-12-01 |
| publisher | Indonesian Institute of Sciences |
| record_format | Article |
| series | Jurnal Elektronika dan Telekomunikasi |
| spelling | doaj.art-1589829ec7b342c8b36e75cb7dc587d62024-01-07T04:53:20ZengIndonesian Institute of SciencesJurnal Elektronika dan Telekomunikasi1411-82892527-99552023-12-01232687510.55981/jet.544277Improvement of photovoltaic systems with tracking of the maximum power point in low-irradiation atmospheric conditionsDieudonné Marcel Djanssou0Dadjé Abdouramani1Fabrice Kwefeu Mbakop2Noël Djongyang3Department of Renewable Energy, National Advanced School of Engineering of Maroua, University of Maroua, CameroonSchool of Geology and Mining Engineering, University of Ngaoundéré, Ngaoundéré, Cameroon.Department of Renewable Energy and Energy Performance, Higher Institute of Agriculture, Forestry, Water and Environment, University of Ebolowa, Ebolowa, CameroonDepartment of Renewable Energy, National Advanced School of Engineering of Maroua, University of Maroua, CameroonThis paper discusses the efficient use of photovoltaic energy in areas with low solar irradiation. To extract the maximum power at low irradiation, we used a maximum power point tracking (MPPT) algorithm based on the combination of fuzzy logic (FL) and the sliding mode (SM) associated with a Proportionnel-Intégral (PI) regulator. The system parameters are calculated using the particle swarm optimization (PSO) technique, which thus ensures the stability of the controller. The performance of the proposed technique is compared with the conventional perturb and observe (P&O) technique in terms of tracking time and tracking efficiency at low irradiation. The simulation results prove that the technique has high tracking efficiency and less convergence time under low irradiation, with fewer power oscillations, low ripple and no overshoot.https://www.jurnalet.com/jet/article/view/544low irradiation, mppt, pi regulator, fuzzy logic, pso, sliding mode. |
| spellingShingle | Dieudonné Marcel Djanssou Dadjé Abdouramani Fabrice Kwefeu Mbakop Noël Djongyang Improvement of photovoltaic systems with tracking of the maximum power point in low-irradiation atmospheric conditions Jurnal Elektronika dan Telekomunikasi low irradiation, mppt, pi regulator, fuzzy logic, pso, sliding mode. |
| title | Improvement of photovoltaic systems with tracking of the maximum power point in low-irradiation atmospheric conditions |
| title_full | Improvement of photovoltaic systems with tracking of the maximum power point in low-irradiation atmospheric conditions |
| title_fullStr | Improvement of photovoltaic systems with tracking of the maximum power point in low-irradiation atmospheric conditions |
| title_full_unstemmed | Improvement of photovoltaic systems with tracking of the maximum power point in low-irradiation atmospheric conditions |
| title_short | Improvement of photovoltaic systems with tracking of the maximum power point in low-irradiation atmospheric conditions |
| title_sort | improvement of photovoltaic systems with tracking of the maximum power point in low irradiation atmospheric conditions |
| topic | low irradiation, mppt, pi regulator, fuzzy logic, pso, sliding mode. |
| url | https://www.jurnalet.com/jet/article/view/544 |
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