Photovoltaic Power Control Using Fuzzy Logic and Fuzzy Logic Type 2 MPPT Algorithms and Buck Converter

Authors

  • Bachar Meryem Department of Electrical Engineering, Hassan First University, Settat, Morocco
  • Naddami Ahmed Department of Electrical Engineering, Hassan First University, Settat, Morocco
  • Fahli Ahmed Department of Electrical Engineering, Hassan First University, Settat, Morocco

Keywords:

photovoltaic panel, fuzzy logic, fuzzy logic type 2, matlab/simulink

Abstract

This work presents the analysis, design, simulation and hardware implementation of the classical Fuzzy Logic (FL) and the proposed Fuzzy Logic Type 2 (FLT2) MPPT techniques for standalone PV System. FL and FLT2 MPPT algorithms are simulated via MATLAB/ Simulink and implemented via LabVIEW software and CompactRio hardware, in different climatic conditions. Also, they are compared to the Incremental Conductance (InC) MPPT algorithm, one of the most common used MPPT techniques. The studied system consists of PV array, DC/DC converter, MPPT controller, batteries and load. The PV array is connected to the DC / DC buck converter that works based on the output pulses of the MPPT controller to make the PV system operates at the Maximum Power Point (MPP). Thereafter, based on the simulations and the experimental results, a comparison is made to be useful for MPPT designers and researchers in this area.

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Published

2019-06-28

How to Cite

[1]
B. Meryem, N. Ahmed, and F. Ahmed, “Photovoltaic Power Control Using Fuzzy Logic and Fuzzy Logic Type 2 MPPT Algorithms and Buck Converter”, Adv. technol. innov., vol. 4, no. 3, pp. 125–139, Jun. 2019.

Issue

Vol. 4 No. 3 (2019): July

Section

Articles

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