Authors : Ammar Hussein Mutlag, Safaa Abdul Wahid Gadban and Rasha Khider Kareem
Abstract: Maximum Power Point Tracking (MPPT) controller is very important to improve the performance of the Photovoltaic (PV) system. Many algorithms have been introduced during the recent years. Two main factors are affected the Maximum output Power (MPP) obtained from a PV by a DC-DC converter which are irradiance (G) and Temperature (T). However, the most important point in the controller of PV systems is the design of the MPPT algorithm to maximize the extracted power from the PV system. Many reasons make the MPPT algorithms not sufficiently robust, these reasons are fast-changing environmental conditions, efficiency, accuracy at steady-state value and dynamics of the tracking algorithm. In this study, an intelligent controller based Type-1 Fuzzy Logic Controller (T1FLC) has been introduced to enhance the performance of the PV system. The T1FLC has been designed for PV system with capacity of 150 W. The complete system has been modeled using MATLAB environment. The proposed T1FLC based MPPT method has been compared with Perturb and Observe (P&O) algorithm. The proposed T1FLC based MPPT method gives robust enhancement compare with P&O algorithm.
Ammar Hussein Mutlag, Safaa Abdul Wahid Gadban and Rasha Khider Kareem, 2018. Type-1 Fuzzy Logic Control System Based Maximum Power Point Tracking of Photovoltaic Systems. International Journal of Electrical and Power Engineering, 12: 26-31.