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

Author

Sun, Xiaofeng ; Wu, Weiyang ; Li, Xin ; Zhao, Qinglin

Author_Institution

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

Volume

2

fYear

2002

fDate

2002

Firstpage

822

Abstract

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 insensitivity 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

Keywords

DC-AC power convertors; DC-DC power convertors; PWM invertors; control system synthesis; electric current control; neurocontrollers; optimal control; photovoltaic power systems; power system control; robust control; DC-DC power converter; PV power system control; Uc3854 inversion current controller; artificial neural network; insensitivity; maximum power point tracking; photovoltaic energy controlling system; robustness; single phase bi-directional PWM converter; Artificial neural networks; Bidirectional control; Control systems; DC-DC power converters; Photovoltaic systems; Power system harmonics; Pulse width modulation converters; Reactive power; Robustness; Solar power generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Conversion Conference, 2002. PCC-Osaka 2002. Proceedings of the

Conference_Location

Osaka

Print_ISBN

0-7803-7156-9

Type

conf

DOI

10.1109/PCC.2002.997626

Filename

997626