![]() ![]() In this paper, a detailed analysis of the literature review of relevant works of fuzzy logic based MPPT algorithms for PV applications is elaborated first. Furthermore, an experiment-based simulations permit to predict the electrical power of a crystalline silicon module with good precision.Īrtificial intelligence technique based on fuzzy logic is increasingly used for the design of controller for maximum power point tracking (MPPT) in order to harvest maximum energy from photovoltaic (PV) generators. Nevertheless, the manual method can increase the performance of a PV module up to 21% compared to the fixed module. This study shows the advantage of the automatic method over the manual method due to the low consumption of the electromechanical system which drives the PV module. Experimental results were obtained from the two approaches and a comparison was carried out. While the manual system contains a mechanical rotating structure with angle measuring item and the solar panel. The automatic solar tracking system is made of several parts: a mechanical part, sensors, actuator, a control unit with a microcontroller and the tracking solar panel. This second approach finds its importance much more in rural areas because it could solve energy emergencies in a palliative way in hospitals or industrial buildings. In reality astronomical equations make it possible to calculate the positions of the sun in time, the PV module is then positioned manually every hour. The second approach is a manual solar tracking it uses the tracking of the sun’s position with an open loop. In addition, third world countries, particularly rural areas, do not have the financial and technological means for automation that is why a second approach has been carried out. Its particularity is the minimization of the solar tracker consumption. The first approach uses closed-loop solar tracking thanks to a smart solar tracker that has been implemented. It is for this reason that this work proposes two approaches that seek to optimize the performance of PV modules under variable meteorological conditions. Nowadays, solar energy encounters a problem that is the efficiency of the photovoltaic (PV) modules which is still low. ![]()
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