Title :
An improved FLC algorithm for tracking maximum power point in photovoltaic systems
Author :
Momayyezan, M. ; Farivar, G. ; Miragha, F. ; Iman-Eini, H.
Author_Institution :
ECE Dept., KTH, Stockholm, Sweden
Abstract :
This paper presents a maximum power point tracking (MPPT) method based on fuzzy logic theory. A comparative study of conventional fuzzy methods is carried out and advantages and disadvantages of each one are explained. Additionally, different situations that may cause a fuzzy logic control (FLC) system fail to track or degrade in performance are analyzed. Accordingly, the theory and concept of a new algorithm that ensures satisfactory operation is explained. To evaluate the validity and effectiveness of the suggested method, different situations are simulated in MATLAB/SIMULINK environment. The results confirm the effectiveness of proposed method.
Keywords :
fuzzy control; maximum power point trackers; photovoltaic power systems; power system control; MATLAB/SIMULINK environment; conventional fuzzy methods; fuzzy logic control system; fuzzy logic theory; improved FLC algorithm; maximum power point tracking; photovoltaic systems; Companies; Complexity theory; Niobium; Fuzzy logic control; maximum power point tracking (MPPT); photovoltaic; solar module;
Conference_Titel :
Power Electronics and Drive Systems Technology (PEDSTC), 2012 3rd
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-0111-4
DOI :
10.1109/PEDSTC.2012.6183353