A variable maximum power tracking method based on fuzzy logic for solar systems

Due to the change in the output characteristic of photovoltaic units under changes in radiation, temperature, load size and also the angle of placement of the panels, these systems rarely automatically turn on around the maximum power point. So far, various methods such as increasing conductivity, parasitic capacitor, neural network and fuzzy logic controller have been presented to track the maximum power point of photovoltaic systems, which have disadvantages such as high cost, high complexity. And they have low reliability. In this article, a fuzzy controller is designed to track the maximum power point so that the maximum power point tracking can be extracted under the conditions of changing temperature and radiation. In order to increase the accuracy of the proposed controller and considering the nature of temperature and radiation changes, the gray wolf optimization algorithm has been used to adjust the limits of the fuzzy functions to obtain a robust controller, and a proportional integral controller has also been used on the load side Its parameters are also calculated by GWO algorithm to set the optimal voltage. In order to validate the proposed mechanism, this structure has been implemented in the Simulink environment of MATLAB software, and the results show the optimal efficiency of the optimized fuzzy controller in tracking the maximum power point of photovoltaic sources.