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