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.  

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