Aya Shofia Mufti, Sujito, Zainal Abidin, Muhammad Andhika Yudapratama, Abdullah Iskandar Syah, Moh. Zainul Falah
This discussion aims to analyze and evaluate the performance of the MPPT algorithm, especially the P&O and MP&O algorithms, in optimizing the PV power output from five partial shadow scenarios. By modifying the P&O algorithm by adding adaptive parameters such as delta D and the X factor to accelerate the system response and reduce power ripple during steady-state conditions. From the results of the simulation test, the first is without shadow with PV module irradiation of 1000 W/m2, the second is shadow condition with irradiation of 900 and 800 W/m2, the third is shadow condition with irradiation of 1000 and 500 W/m2, the fourth is shadow condition with irradiation of 750 and 250 W/m2, and the fifth is shadow with irradiation of 500 and 100 W/m2. The test was carried out with two PV modules arranged in series, showing that MP&O has a faster settling time and high-power efficiency compared to P&O and produces a smaller ripple value. So that the resulting power output can approach the maximum point more stably. The analysis also includes the calculation of power efficiency, peak power, minimum value, and identifying MPP by observing the PV characteristic curve (voltage-current and power-voltage). Based on the test results, it was found that the MP&O algorithm provides an effective solution to overcome power oscillation and response delay in MPP tracking, especially in shaded conditions. © 2025 IEEE.
State University Of Malang, Dept. Engineering Technology of Energy Generation, Malang, Indonesia; State University Of Malang, Dept. Electrical Engineering and Informatics, Malang, Indonesia; Lamongan Islamic University, Dept. Electrical Engineering, Lamongan, Indonesia; Chaoyang University of Technology, Dept. Information and Comunication Engineering, Taichung, Taiwan
