Design and Comparison of Perturb & Observe and Fuzzy Logic Controller in Maximum Power Point Tracking System for PV System by Using MATLAB/Simulink

Year 2019, Volume: 3 Issue: 1, 66 - 71, 04.03.2019

Gülsüm Nazlı Arpacı , Prof. Dr. M. Cengiz Taplamacıoğlu , Doç. Dr. Haluk Gözde

Abstract

Abstract – Energy is a substantial component for human being. One
of the crucial concerns in developing power industry is that expanding energy
demand compulsively.
Therefore, the only way to overcome this challenge is the evolution of
renewable and unlimited energy sources. Solar energy is considered a major
source for producing electricity. One of the most important issues is generating the
electrical power from PV panels and nowadays researchers concentrate
implementation of maximum power point tracking algorithm to increase the output
efficiency of PV panel. Maximum power point tracking (MPPT) system is used in
PV applications to obtain maximum power which rely on different conditions like
solar insolation, temperature, sunlight angle etc. In addition, a DC-DC
converter is located between the PV array and load in order to acquire the
desired voltage level. The converter searches a better voltage to receive
higher power from the solar panels.

In
this study, a Fuzzy Logic controller and a Perturb & Observe (P&O)
system for the tracking of the maximum power point are analyzed. Thus, fuzzy
logic controller is designed and compared with P&O technique for the
operation of the MPPT controller for effective operation under non-linear
parameters variations. All algorithms are simulated in Matlab/Simulink to track maximum power
efficiently and so successful results are obtained.  

Keywords

Photovoltaic applications, Maximum Power Point Tracking, Perturb and Observe, Fuzzy logic controller, Matlab

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