| Autor: |
OULD CHERCHALI Noureddine, MORSLI Abdelkader, BOUCHERIT Mohamed-Seghir, BARAZANE Linda |
| Jazyk: |
angličtina |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
Journal of Electrical and Electronics Engineering, Vol 7, Iss 1, Pp 117-122 (2014) |
| Druh dokumentu: |
article |
| ISSN: |
1844-6035 |
| Popis: |
This paper proposes a technique of intelligent control to track the maximum power point (MPPT) of a photovoltaic system . The PV system is non-linear and it is exposed to external perturbations like temperature and solar irradiation. Fuzzy logic control is known for its stability and robustness. FLC is adopted in this work for the improvement and optimization of control performance of a photovoltaic system. Another technique called perturb and observe (P & O) is studied and compared with the FLC technique. The PV system is constituted of a photovoltaic panel (PV), a DC-DC converter (Boost) and a battery like a load. The simulation results are developed in MATLAB / Simulink software. The results show that the controller based on fuzzy logic is better and faster than the conventional controller perturb and observe (P & O) and gives a good maximum power of a photovoltaic generator under different changes of weather conditions. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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