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:
scopus
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Energía
- Red neuronal artificial
Áreas temáticas:
- Física aplicada
- Otras ramas de la ingeniería