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
Link To Document :
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