A research on photovoltaic energy controlling system with maximum power point tracking

被引：0
|
作者：
Sun, XF [1 ]
Wu, WY [1 ]
Xin, L [1 ]
Zhao, QL [1 ]
机构：
[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Peoples R China
来源：
PCC-OSAKA 2002: PROCEEDINGS OF THE POWER CONVERSION CONFERENCE-OSAKA 2002, VOLS I - III | 2002年
关键词：
maximum power point tracking; photovoltaic system; power conditioning; neural network;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper introduces a photovoltaic energy system, controlled by a dc-dc converter and a single-phase bi-directional PWM converter to realize the inversion. A current controlling (MPPT) method of tracking the maximum power point and forcing the system to operate close to this point is used. An artificial neural network is used in the MPPT system and its robustness and insensitivitj, to the intermittent weather conditions is enhanced Uc3854 is used as an inversion current controller which has a high performance in harmonics and power factor.
引用
收藏
页码：822 / 826
页数：3
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