A Fuzzy Control Maximum Power Point Tracking Photovoltaic System

被引:0
作者
Purnama, Irwan [1 ]
Lo, Yu-Kang [1 ]
Chiu, Huang-Jen [1 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei, Taiwan
来源
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) | 2011年
关键词
Maximum Power Point Tracking; Photovoltaic Module; Single-Fuzzy Logic Control; DESIGN;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:2432 / 2439
页数:8
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