TY  - JOUR
TI  - Improved HYBRID intelligent controller design for MPPT of stand-alone PV System
AB  - Photovoltaic (PV) systems have low power conversion efficiency, so maximum power point 
tracking (MPPT) control methods are utilized to maximize the efficiency of PV systems. The 
present study proposes an improved hybrid intelligent controller design for the MPPT of 
stand-alone PV system. The hybrid intelligent control structure is integrated into Angle of 
Incremental Conductance (AIC) method and Interval Type-2 Takagi-Sugeno-Kang Fuzzy Logic 
Controller (IT2-TSKFLC). The proposed hybrid intelligent controller offers a superior 
performance in terms of dealing with uncertainties of sudden changes under different 
environmental conditions. A simulation model is created in Matlab/Simulink using daily data 
from a real solar PV plant to evaluate the performance of the proposed hybrid intelligent 
controller. The simulation findings demonstrated that the proposed hybrid intelligent 
controller displays a highly stable and robust performance in terms of tracking maximum 
power point compared to a conventional AIC MPPT method against various uncertainties 
stemming from disturbing inputs such as solar irradiance and panel temperature variations.
AU  - GANI, Ahmet
AU  - SEKKELI, Mustafa
AU  - KECECIOGLU, O Fatih
DO  - 10.31127/tuje.652229
PY  - 2021
JO  - Turkish Journal of Engineering
VL  - 5
IS  - 1
SN  - 2587-1366
SP  - 20
EP  - 28
DB  - TRDizin
UR  - http://search/yayin/detay/526349
ER  -