MPPT sistemlerinin simülasyonu ve mikro küp uydu uygulaması için tasarımı

The demand for electricity is increasing with the highest measure of all energy consumption worldwide due to overall socio economic growth. The conversion of solar radiation directly into electrical energy using the PV cells possesses a number of important benefits. However, its expert extraction contributes the execution of certain challenges, like fluctuation in energy, high capital, and reduced efficiency in conversion of energy. The inequality among source and load characteristics limits the accessibility of maximum possible power delivery to load, and finally results in considerable loss of power. An electronic circuitry used to match the characteristics of module with respect to maximum power to avoid such power loss is termed as maximum power point tracker (MPPT). Modern literature discloses that the efforts in research aims in enhancing the power output generated from module by means of MPPT. The major contribution of this research is the development of a hybrid Bat-Cat optimization tuned Sugeno fuzzy Logic controller (BT-CT-based sugeno FLC) for the optimization of MPPT in the hybrid energy systems. The proposed BT-CT optimization algorithm inherits the characteristic features of placenta mammals and the tracing cats in such a way to balance the trade-off between the phases, such as exploration and exploitation. In other words, the proposed optimization algorithm helps in achieving the Maximum power point (MPP) by attaining the global optimal solution. The system model of the proposed setup comprise of PV array, Boost converter, RL filter, Inverter, Bidirectional DC-DC control, battery control, in addition with the proposed optimization tuned controller. The efficiency of the proposed method of MPPT is analyzed for different irradiance levels by maintaining constant temperature. The results are analyzed in terms of varying reference voltage and population size in such a way to reveal the performance of the proposed method for different irradiance levels. Finally, the results of the proposed BT-CT-based Sugeno FLC are compared with the existing methods of MPPT in such a way to reveal the superiority of the proposed method in tracking the MPP from PV array. The maximum power tracked using the proposed BT-CT- based Sugeno FLC is 7600W, even at varying irradiance levels.