An Experimental Testing of Optimized Fuzzy Logic-Based MPPT for a Standalone PV System Using Genetic Algorithms

The choice and the dimensioning of the controller for the maximum power point tracking (MPPT) are determined for the ideal energy efficiency of the photovoltaic (PV) systems. Many works have been developed in the field of MPPT methods, especially fuzzy logic controllers. However, these are robust if...

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Bibliographic Details
Published in:Mathematical problems in engineering 2023-01, Vol.2023 (1)
Main Authors: Yahiaoui, Fatah, Chabour, Ferhat, Guenounou, Ouahib, Bajaj, Mohit, Hussain Bukhari, Syed Sabir, Shahzad Nazir, Muhammad, Pushkarna, Mukesh, Mbadjoun Wapet, Daniel Eutyche
Format: Article
Language:English
Subjects:
Alternative energy sources
Controllers
Engineering
Evolutionary algorithms
Field programmable gate arrays
Fuzzy control
Fuzzy logic
Genetic algorithms
Maximum power tracking
Optimization techniques
Parameter robustness
Photovoltaic cells
Reference signals
Renewable resources
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Summary:The choice and the dimensioning of the controller for the maximum power point tracking (MPPT) are determined for the ideal energy efficiency of the photovoltaic (PV) systems. Many works have been developed in the field of MPPT methods, especially fuzzy logic controllers. However, these are robust if the parameters of the membership functions have been well designed. In this paper, the performances of an intelligent fuzzy logic controller (FLC)-based MPPT method have been optimized by an evolutionary genetic algorithm (GA). The works presented in the literature have shown the efficiency of the proposed method compared to classical methods. In our paper, the validation of the experimental results obtained is given with respect to a reference signal. The control of the simulated PV source and the proposed method are built using the Simulink/Matlab environment and implemented on the dSPACE DS1104 controller to validate the practical execution of the suggested method. The standalone PV system has been tested in an emulated test bench experimentation. Experimental results confirm the efficiency of the proposed method and its high accuracy in handling fast varying load conditions.
ISSN:1024-123X
1563-5147
DOI:10.1155/2023/4176997