Improve and analyze the performance of photovoltaic systems controlled by an advanced fuzzy logic method for fast and stable MPPT
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Author |
Yassine El Moujahid, Abdessamad Benlafkih, Abdelkader Hadjoudja and Nadia El Harfaoui
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e-ISSN |
1819-6608 |
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On Pages
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2067-2076
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Volume No. |
17
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Issue No. |
24
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Issue Date |
January 29, 2023 |
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DOI |
https://doi.org/10.59018/122211
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Keywords |
photovoltaic system PV, model solar, fuzzy logic controllers, pulse width modulation (PWM), boost converter, maximum
point power tracking algorithm (MPPT).
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Abstract
The main problem that often arises in photovoltaic systems is to achieving the maximum output power and
maintaining the DC-DC connection voltage at a stable value since the power generated by photovoltaic panels is very
powerless in uncertain climatic conditions. Moreover, the sunshine and temperature constantly change during the day. The
aim of this work is to adapt and optimize an intelligent control algorithm for photovoltaic systems based on a fuzzy logic
method to track the maximum power point (MPPT) at a stable value with a fast settling time and to optimize the efficiency
under different influences of weather conditions (lighting and temperature). The system consists of a photovoltaic solar
module connected to a DC-DC boost converter and a load. The effectiveness of the proposed system was validated by
computer simulations using MATLAB/Simulink software. The results of this work show that the efficiency of the
photovoltaic system can be improved up to 99.1% by using the advanced fuzzy logic controller.
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