Özet:

Electricity is a very important and indispensable element in human life, so work should be done to find ways to produce electricity and not to be interrupted. The main source of electricity production is fossil fuels, but the increase in costs and the technological advancement, along with general hunger and large population growth, lead researchers to renewable and sustainable energy production. Solar energy is one of the most important sources of renewable, environmentally friendly energy. However, solar energy has low efficiency, so it has become a source of interest for researchers to find ways to increase efficiency. Maximum Power Point Tracking Technique is considered one of the techniques used today to improve the efficiency of photovoltaic systems. Researchers focus on developing and applying a series of algorithms to be applied in MPPT technology for maximum power point tracking, extracting maximum power from solar panels in different measurement conditions and controlling the task cycle of a DC-DC converter to provide a certain level. In this study, we will apply three different algorithms to the maximum power point tracking technique, these are Perturbation and Observation (P&O) algorithms, foolish logic controller (FLC) algorithms and particle set optimization (PSO) algorithms. The photovoltaic system designs are simulated using MATLAB/Simulink and the simulation results are compared under standard and variable test conditions. After all, the most efficient algorithm was the particle set optimization algorithm.

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