An Evaluation of ANFIS Controller for Photovoltaic MPPT using Zeta Converter

This research presents the performance of the maximum power tracking using the ANFIS algorithm technique on a zeta converter circuit. The researchers used a 285 W monocrystalline PV panel in the research method. This research uses an appropriate design of the Zeta circuit's parameters by selecting a load size of 4.312 ohms. The conditions in solar irradiation (G) based on the highest average light intensity in Thailand at 858 W/m 2 used in the experiment at 100%, 75%, 50%, and 25% are 858 W/m 2 , 637.5 W/m 2 , 429.0 W/m 2 , and 214.5 W/m 2 , respectively, and the temperature (T) is set at 40°C based on an average temperature in Thailand. The results show that the output power decreases when the solar irradiation decreases, following a sequential pattern. Comparing the power obtained from PV panels with MPPT and without MPPT shows that the power values were similar at a high rate of solar irradiation. However, at a low rate of solar irradiation, the power values obtained from the solar photovoltaic (PV) panels integrated with the MPPT can produce a higher electrical energy output than without the MPPT installation. Furthermore, this research compares the performance of the MPPT system, which is controlled by a fuzzy logic algorithm and ANFIS. The efficiency values of the circuits are 95.98% and 97.54%, respectively. It can be concluded that the intelligent and swift operation of the ANFIS control obtains higher efficiency than an operation using fuzzy logic control.