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

fYear

2012

fDate

15-16 Feb. 2012

Firstpage

342

Lastpage

347

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Drive Systems Technology (PEDSTC), 2012 3rd

Conference_Location

Tehran

Print_ISBN

978-1-4673-0111-4

Type

conf

DOI

10.1109/PEDSTC.2012.6183353

Filename

6183353