Akademik Veri Yönetim Sistemi
INTERNATIONAL SYMPOSIUM ON APPLIED SCIENCES AND ENGINEERING, Erzurum, Türkiye, 7 Nisan - 09 Haziran 2021, ss.376-377, (Özet Bildiri)
The importance of renewable energy sources is
gradually increasing because of the decrease in fossil energy
resources and their harmful effects on the environment. Solar
power plants, which are obtained from the serial and parallel
connection of photovoltaic (PV) panels, are one of the most
preferred renewable energy sources. The most important
disadvantage of PV panels is their low efficiency. They are
required to operate at the maximum power point (MPP) in
order to obtain desirable efficiency levels. In this study, an
optimization algorithm based on Adaptive-Network-based
Fuzzy Inference System (ANFIS) is proposed to increase the
efficiency of the PV panels. Topsun TS-S407 brand PV panel
is used during the implementation phase. The performance of
the ANFIS based maximum power point tracking (MPPT)
algorithm has been compared with one of the classical
optimization algorithms names as Incremental Conductance
(INC). As a result of the simulation study, it has been shown
that ANFIS based MPPT is more successful than INC for
several irradiation and constant temperature conditions.