DocumentCode
3118182
Title
A fuzzy control maximum power point tracking photovoltaic system
Author
Purnama, Irwan ; Lo, Yu-Kang ; Chiu, Huang-Jen
Author_Institution
Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear
2011
fDate
27-30 June 2011
Firstpage
2432
Lastpage
2439
Abstract
Conventional maximum power point tracking (MPPT) method, e.g. perturbation and observation (P&O) and incremental conductance (INC), have the drawbacks such as oscillation at the MPP during power fast tracking and power divergence under rapidly changing atmospheric condition. Thus, a fuzzy logic controller (FLC) is implemented in the PV system to avoid the conventional problem. FLC method has not only fast response under rapidly changing atmospheric conditions but also small oscillation at the maximum power point (MPP). However, FLC presents tuning difficulty of membership function, scaling factor and control rules. The FLC disadvantages can be reduced using single-fuzzy logic controller (S-FLC) without degrading its performance. The experiment results are shown to verify the studied S-FLC MPPT method.
Keywords
fuzzy control; maximum power point trackers; photovoltaic power systems; MPPT; PV system; fuzzy control maximum power point tracking photovoltaic system; fuzzy logic controller; membership function; single-fuzzy logic controller; Input variables; Mathematical model; Oscillators; Renewable energy resources; Schottky diodes; Stress; Switches; Maximum Power Point Tracking; Photovoltaic Module; Single-Fuzzy Logic Control;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location
Taipei
ISSN
1098-7584
Print_ISBN
978-1-4244-7315-1
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2011.6007399
Filename
6007399
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