MPPT for temperature compensation of photovoltaic system with neural networks

Author

Cha, Ln-Su ; Choi, Jang-Gyun ; Yu, Gyun-Jong ; Jung, Myung-woong ; Baek, Hyung-Lae ; Kim, Dong-Hyee

Author_Institution

Dept. of Electr. & Electron. Eng., Dongshin Univ., Chonnam, South Korea

fYear

1997

fDate

29 Sep-3 Oct 1997

Firstpage

1321

Lastpage

1324

Abstract

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

Keywords

DC-DC power convertors; backpropagation; choppers (circuits); compensation; neurocontrollers; photovoltaic power systems; power engineering computing; temperature control; IGBT boost converter; MPPT; back propagation algorithm; duty ratio; microprocessor; neural network controller training; neural networks; optimal compensated voltage; optimal power converter; photovoltaic system; simulation; solar cell operation; step-up chopper circuit; temperature compensation; Choppers; Circuit simulation; Insulated gate bipolar transistors; Microprocessors; Neural networks; Optimal control; Photovoltaic cells; Photovoltaic systems; Temperature; Voltage control;

fLanguage

English

Publisher

ieee

Conference_Titel

Photovoltaic Specialists Conference, 1997., Conference Record of the Twenty-Sixth IEEE

Conference_Location

Anaheim, CA

ISSN

0160-8371

Print_ISBN

0-7803-3767-0

Type

conf

DOI

10.1109/PVSC.1997.654332

Filename

654332