Efficiency of Photovoltaic Maximum Power Point Tracking Controller Based on a Fuzzy Logic
| Autor: | Ammar Al-Gizi, Sarab Al-Chlaihawi, Aurelian Craciunescu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Maximum Power Point Tracking
Physics and Astronomy (miscellaneous) Computer science lcsh:T 020209 energy Photovoltaic system Maximum power point tracking controller Fuzzy Logic Controller Control engineering 02 engineering and technology Fuzzy logic Perturb and Observe lcsh:Technology Maximum power point tracking Power optimizer Climate conditions Control theory Management of Technology and Innovation 0202 electrical engineering electronic engineering information engineering lcsh:Q lcsh:Science Engineering (miscellaneous) Photovoltaic systems |
| Zdroj: | Advances in Science, Technology and Engineering Systems, Vol 2, Iss 3, Pp 1245-1251 (2017) |
| ISSN: | 2415-6698 |
| Popis: | This paper examines the efficiency of a fuzzy logic control (FLC) based maximum power point tracking (MPPT) of a photovoltaic (PV) system under variable climate conditions and connected load requirements. The PV system including a PV module BP SX150S, buck-boost DC-DC converter, MPPT, and a resistive load is modeled and simulated using Matlab/Simulink package. In order to compare the performance of FLC-based MPPT controller with the conventional perturb and observe (P&O) method at different irradiation (G), temperature (T) and connected load (RL) variations – rising time (tr), recovering time, total average power and MPPT efficiency topics are calculated. The simulation results show that the FLC-based MPPT method can quickly track the maximum power point (MPP) of the PV module at the transient state and effectively eliminates the power oscillation around the MPP of the PV module at steady state, hence more average power can be extracted, in comparison with the conventional P&O method. |
| Databáze: | OpenAIRE |
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