A.N. Afandi, W. Aji Prasetya, Syaad Padmantara, Aripriharta, Yunis Sulistyorini
This paper explores a computational intelligence based on a natural phenomenon of thunderstorm mechanisms. These works are applied to optimize a technical problem under various operational constraints and environmental requirements considered the IEEE-62 bus system. Obtained results show that Thunderstorm Algorithm demonstrates faster convergence and short time. This method also presents smooth and stable characteristics. In detail, the optimal solution is obtained in 22 steps for 15,586 h after pointing at 28,858 h at the first streaming. Based on executions, the computation needed 2.5 s for the streaming and it also needed 0.09 for covering the dead tracks included 0.5 s for the replacement. © 2018 Author(s).
Electrical Engineering, Universitas Negeri Malang, Malang, Jatim, Indonesia; Department of Mathematical Education, IKIP Budi Utomo, Malang, Jatim, Indonesia
