Optimized Novel FLC approach of a maximum power point soft switching Luo converter for photovoltaic Applications

被引:0
|
作者
Ramasamy, Arulmurugan [1 ]
Suthanthiravanithan, N. [2 ]
Manivannan, L. [2 ]
机构
[1] Anna Univ, Dept EEE, Madras 600025, Tamil Nadu, India
[2] Knowledge Inst Technol, Dept EEE, Salem, Tamil Nadu, India
关键词
optimized fuzzy rule system; Maximum power point tracking; photovoltaic; DC to DC buck-boost Luo converter; FUZZY-LOGIC; TRACKING; SYSTEM; VOLTAGE; MPPT;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This Harnessing energy from the abundant and free sunlight is now a days a hot-topic among the research community. The availability of cheap solar modules has made it possible to harvest solar energy with better efficiency. The nature of solar modules is nonlinear and therefore the process of impedance matching is essential. The proper impedance matching ensures extraction of the maximum power from solar PV module. Several algorithms are reported in literatures that are used to operate the DC-DC converter around MPP. Maximum power point tracking (MPPT) algorithm acting an significant part in photovoltaic (PV) power generating system because it exploit the output power from a PV generating set for a various climatically conditions. This paper suggested a new modified work for MPPT of PV energy gathering system by using the optimized novel fuzzy logic controller (FLC). In the optimized FLC method, the membership functions tune automatically. In this paper MATLAB simulation effort shows with MPPT controller, a zero voltage and zero current dc to dc buck-boost Luo converter feeding a battery load is achieved. The results demonstrate that the suggested novel rule FLC MPPT in the photovoltaic generating system is valid.
引用
收藏
页码:538 / 543
页数:6
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