Performance Study of Maximum Power Point Tracking (MPPT) Based on Type-2 Fuzzy Logic Controller on Active Dual Axis Solar Tracker

¹ Department of Engineering Physics, Institut Teknologi Sepuluh Nopember, Jl. Teknik Kimia, Surabaya 60111, East Java, Indonesia
² Department of Biology and Environmental Science, Linnaeus University, Stuvaregatan 4 SE-392 31 Kalmar, Sweden
³ Graduate School of Renewable Energy, Darma Persada University, Jl. Taman Malaka Selatan No. 22, Pondok Kelapa, East Jakarta 13450, Indonesia

^* Corresponding author: imamabadi02@gmail.com

Abstract

World energy consumption increases with time, so that occur an energy imbalance. Many breakthroughs have developed to utilize renewable energy. The photovoltaic system is one of the easy-to-use renewable energies. The power conversion from PV fixed is still low, so the PV system is designed using the active dual-axis solar tracker. The PV tracker position can be adjusted to change the sun position to get maximum efficiency. The active dual-axis solar tracker system is integrated with the maximum power point tracking (MPPT) algorithm to keep PV operating at a maximum power point even though input variations change. The active dual-axis solar tracker system integrated with the maximum power point tracking (MPPT) algorithm to keep PV operating at a maximum power point even though input variations change. Tracking test simulation had done by comparing the output power of a fixed PV system with the active dual-axis solar tracker. Type-2 fuzzy logic based MPPT successfully increased the average output power by 10.48 % with the highest increase of 17.48 % obtained at 15:00 West Indonesia Time (GMT+7). The difference in power from a fixed PV system with the active dual-axis solar tracker of 36.08 W is from the output power worth 206.3 to 242.4 W.