A.N. Afandi, Sujito, M. Yunus, L. Gumilar, N.A. Ana, G. Fujita
Solar energy system deployment is rapidly rising in areas where solar cell technology is more practical. Natu-rally, running a solar cell module presents both technical and environmental challenges, with the majority of cases involving partial shadowing, pollution, radiation, and heat effects. Standard modules are also susceptible to shadows. This paper evaluates random shadow penetration using an artificial salmon tracking algorithm to determine the best positions for shaded cells and energy block banks, addressing the issue at hand. The results demonstrate that the randomly shaded cell enters the energy matrix and penetrates in several different places along the surface. Additionally, a shadow that occurs with a different value every hour has an impact on the energy bank. By paying attention to the random shadow penetration, it is possible to determine how the conversion process affects energy cells for 9 hours. Energy cells experienced quite different power penetration, ranging from 10 WP to 47 WP, while the energy bank offers 442 WP of Row 1, 405.6 WP of Row 2, 416 WP of Row 3 and Row 4, and 436.7 WP of Row 5 and Row 6. © 2022 IEEE.
Universitas Negeri Malang, Electrical Engineering, Malang, Indonesia; Universitas Negeri Malang, Mathematics Department, Malang, Indonesia; Electrical Engineering, Politeknik Unisma, Malang, Indonesia; Shibaura Institute of Technology, Electrical Engineering, Tokyo, Japan
