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


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 the space-vector pulsewidth modulation is implemented by artificial neural networks. Comprehensive results are presented to assess the performance of this device to alleviate power quality problems present on the ac grid. © 2003 IEEE.

Año de publicación:

2003

Keywords:

  • Pulse width modulated inverters
  • Power Quality
  • fuel cells

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Energía
  • Red neuronal artificial

Áreas temáticas:

  • Física aplicada
  • Otras ramas de la ingeniería