Improving the performance of solar systems using observational and fuzzy algorithms

With the increasing reduction of fossil fuels and the increase in pollution caused by fossil fuels, the use of renewable energy has become very important in societies. One of these renewable energies is solar energy. The disadvantage of solar cells is their low power output. To solve this problem, the cells are connected in series and in parallel to increase the level of production power by a solar panel, but despite the maximum power in these mobile production units has been considered by researchers. To solve this problem, and in many articles, maximum tracking methods have been proposed. In this paper, a combined method including fuzzy observation, follow-up, and fuzzy logic has been proposed to increase the production capacity of solar panels. In order to show the performance of the proposed method, the results were compared with the other two methods, which indicated that the performance of the proposed method was satisfactory.