Abstract
Electricity generation systems based on renewable energy sources require the tracking of the maximum power point using optimization algorithms because the photovoltaic systems are characterized by their linear nature and their efficiency depends on the level of solar irradiation and temperature, which decreases the efficiency of operation efficiency photovoltaic generators. These algorithms allow tracking the maximum power produced by solar panels under different temperature and illumination levels. This paper considers three optimization algorithms namely, the Perturb and Observe optimization, the Incremental Conductance approach and the Genetic Algorithm in order to analyze their performance under varying irradiation conditions.
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