A research on photovoltaic energy controlling system

Author

Xiaofeng, Sun ; Weiyang, Wu ; Baocheng, Wang ; Xiaogui, Wei

Author_Institution

Electr. Eng. Inst., Yanshan Univ., Qinhuangdao, China

Volume

1

fYear

2001

fDate

2001

Firstpage

542

Abstract

This paper introduces a photovoltaic energy controlling system, controlled by a DC-DC converter and a three-phase neural network controlled bi-directional converter realizes the inversion. A current controlling method of tracking the maximum power point and forcing the system to operate close to this point is used. A back propagation neural network is used as a current controller, which has a high performance in response to current and robustness and insensitivity to the parameter changes. Space vector pulse width modulation (SVPWM) technique is used to decrease the switch losses

Keywords

DC-DC power convertors; PWM power convertors; backpropagation; electric current control; neurocontrollers; photovoltaic power systems; power control; 3 kW; 400 W; DC-DC converter; back propagation neural network; bi-directional converter; current controlling method; high performance; maximum power point tracking; parameter changes; photovoltaic energy controlling system; photovoltaic system; power conditioning; robustness; space vector pulse width modulation; space vector pulse width modulation technique; switch losses reduction; three-phase neural network; Batteries; Control systems; DC-DC power converters; Neural networks; Photovoltaic systems; Power generation; Pulse width modulation converters; Solar power generation; Space vector pulse width modulation; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on

Conference_Location

Shenyang

Print_ISBN

7-5062-5115-9

Type

conf

DOI

10.1109/ICEMS.2001.970731

Filename

970731