Title :
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
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;
Conference_Titel :
Power Tech Conference Proceedings, 2003 IEEE Bologna
Print_ISBN :
0-7803-7967-5
DOI :
10.1109/PTC.2003.1304422
