Implementation of a fuzzy logic based perturb and observe approach for maximum power point tracking of solar PV modules

Author(s):  
Gajendra Singh ◽  
Mayand Siwasia ◽  
Shashank Vyas ◽  
Rajesh Kumar
2019 ◽  
Vol 2 (1) ◽  
Author(s):  
A. S. Mahdi ◽  
A. K. Mahamad ◽  
S. Saon ◽  
T. Tuwoso ◽  
Hakkun Elmunsyah ◽  
...  

Author(s):  
K. Nebti ◽  
R. Lebied

Aim. This paper presents the amelioration of maximum power point tracking using fuzzy logic methods for photovoltaic system supplying a standalone system. Method. The main role of the maximum power tracking is to force the system for working at the maximum point for each change of meteorological conditions. The classic technique Perturb and Observe is more attractive due to its simple and high efficiency. Sliding mode is a non-linear control technique; characterised by robustness against the parameters change or disturbances, it gives a good maximum power operation under different conditions such as changing solar radiation and photovoltaic cell temperature. Novelty. Fuzzy logic tracking technique is treated. Fuzzy rules construction is based on Perturb and Observe behaviour when the appropriate disturbance step is produced in order to obtain a fast system with an acceptable precision. We use in our study 60 W photovoltaic panel associated to boost chopper converter in order to supply a standalone system. Results. As show in results figures using fuzzy maximum power point tracking the ameliorate performances especially the very low oscillation rate (nearly 0.6 W), and very acceptable response time 0.1 s.


Author(s):  
Ahmad Saudi Samosir ◽  
Herri Gusmedi ◽  
Sri Purwiyanti ◽  
Endah Komalasari

This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power.  The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system.


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