Neural network control of grid-connected fuel cell plants for enhancement of power quality

Author

Jurado, F. ; Saenz, J.R. ; Fernandez, L.

Author_Institution

Dept. of Electr. Eng., Jaen Univ., Spain

Volume

3

fYear

2003

fDate

23-26 June 2003

Abstract

This paper describes the application of a solid-oxide fuel cell for compensation of distribution system voltage. A grid-connected fuel-cell plant consists of the fuel cell and the voltage-source inverter. The flux-vector control is used very effectively for the control of this inverter, where artificial neural networks implement the space-vector pulse width modulation. Comprehensive results are presented to assess the performance of this device to alleviate power quality problems present on the ac grid.

Keywords

PWM invertors; fuel cell power plants; neurocontrollers; power engineering computing; power supply quality; power system control; power system interconnection; solid oxide fuel cells; distribution system voltage; flux-vector control; grid-connected fuel cell plants; neural network; power quality; pulse width modulated inverters; solid-oxide fuel cell; space-vector pulsewidth modulation; voltage-source inverter; Fuel cells; Neural networks; Power generation; Power quality; Pulse inverters; Pulse width modulation converters; Pulse width modulation inverters; Space vector pulse width modulation; Support vector machines; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Tech Conference Proceedings, 2003 IEEE Bologna

Print_ISBN

0-7803-7967-5

Type

conf

DOI

10.1109/PTC.2003.1304422

Filename

1304422