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Apply Modified PSO Algorithm Technology Based on MPPT of a Photovoltaic System Under Condition Difference


Affiliations
1 Applied automation and diagnostic industrial laboratory (LAADI), Faculty of Science and Technology, Ziane Achour University of Djelfa, 17000 Djelfa, Algeria
 

Solar systems are considered one of the easiest and least expensive ways to implement, but their low efficiency and short life cycle are the major obstacles to their use, as they are completely linked to external climatic factors such as temperature and solar radiation.

To increase its efficiency, the researchers relied on tracking the maximum power point of the photovoltaic system using classic and modern control techniques it differs among themselves in terms of simplicity and complexity in implementation, so choosing an appropriate control technique is important to obtain the best results.

In this work, modified control Particle Swarm Optimization algorithm PSO for maximum power point tracking and comparative study with fuzzy logic.

Both technologies are classified under the category of intelligent control. To achieve the system, the MATLAB/SIMULINK simulation environment is used for both techniques and compared the results, according to these results and under similar standard test conditions, it is concluded that both methods are highly effective, but the PSO method provides a better response rate and tracking accuracy than fuzzy logic.


Keywords

photovoltaic (PV), fuzzy logic controller (FLC), boost converter, particle swarm optimization algorithm (PSO), tracking the maximum power point (MPPT).
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  • Apply Modified PSO Algorithm Technology Based on MPPT of a Photovoltaic System Under Condition Difference

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Authors

KELLAL Cherif
Applied automation and diagnostic industrial laboratory (LAADI), Faculty of Science and Technology, Ziane Achour University of Djelfa, 17000 Djelfa, Algeria
MAZOUZ Lakhdar
Applied automation and diagnostic industrial laboratory (LAADI), Faculty of Science and Technology, Ziane Achour University of Djelfa, 17000 Djelfa, Algeria
ELOTTRI Ahmed
Applied automation and diagnostic industrial laboratory (LAADI), Faculty of Science and Technology, Ziane Achour University of Djelfa, 17000 Djelfa, Algeria

Abstract


Solar systems are considered one of the easiest and least expensive ways to implement, but their low efficiency and short life cycle are the major obstacles to their use, as they are completely linked to external climatic factors such as temperature and solar radiation.

To increase its efficiency, the researchers relied on tracking the maximum power point of the photovoltaic system using classic and modern control techniques it differs among themselves in terms of simplicity and complexity in implementation, so choosing an appropriate control technique is important to obtain the best results.

In this work, modified control Particle Swarm Optimization algorithm PSO for maximum power point tracking and comparative study with fuzzy logic.

Both technologies are classified under the category of intelligent control. To achieve the system, the MATLAB/SIMULINK simulation environment is used for both techniques and compared the results, according to these results and under similar standard test conditions, it is concluded that both methods are highly effective, but the PSO method provides a better response rate and tracking accuracy than fuzzy logic.


Keywords


photovoltaic (PV), fuzzy logic controller (FLC), boost converter, particle swarm optimization algorithm (PSO), tracking the maximum power point (MPPT).

References