Improved hybrid intelligent controller design for MPPT of stand-alone PV System

Authors : Ö Fatih KEÇECİOĞLU, Ahmet GANİ, Mustafa ŞEKKELİ

Pages : 20-28

Doi:10.31127/tuje.652229

View : 19 | Download : 6

Publication Date : 2021-01-01

Article Type : Research Paper

Abstract :Photovoltaic insert ignore into journalissuearticles values(PV); systems have low power conversion efficiency, so maximum power point tracking insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(AIC); method and Interval Type-2 Takagi-Sugeno-Kang Fuzzy Logic Controller insert ignore into journalissuearticles values(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.
Keywords : Hybrid Intelligent Controller, MPPT, Stand alone PV system