MPPT for temperature compensation of photovoltaic system with neural networks

被引：7

作者：

Cha, IS ^{[1
]}

Choi, JG ^{[1
]}

Yu, GJ ^{[1
]}

Jung, MW ^{[1
]}

Baek, HL ^{[1
]}

Kim, DH ^{[1
]}

机构：

[1] Dongshin Univ, Dept Elect & Elect Engn, Naju 520714, Chonnam, South Korea

来源：

CONFERENCE RECORD OF THE TWENTY SIXTH IEEE PHOTOVOLTAIC SPECIALISTS CONFERENCE - 1997 | 1997年

关键词：

D O I：

10.1109/PVSC.1997.654332

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：

In this paper, we investigate the possibilities of P-max control using the neural networks, a back propagation algorithm is used to train neural network controller. and we also examine about the optimal power converter using step-up chopper circuit to operate the solar cell at an optimal voltage comprise compensated voltage. Proposed step-up MPPT system is studied by simulation and is implemented by using a micro-processor which controls duty ratio of IGBT boost converter.

引用

页码：1321 / 1324

页数：4