Power supply quality improvement with a SOFC plant by neural-network-based control
Abstract:
This paper demonstrates the potential of a solid-oxide fuel cell (SOFC) to perform functions other than the supply of real power to the grid. These additional functions however require the use of an inverter. The flux-vector control is used very effectively for the control of this inverter, where the space-vector pulsewidth modulation (SVM) is implemented by neural networks (NNs). The results presented in the paper show the effect of the fuel cell on the voltage at the sensitive load point. The performance of the fuel cell was found to be excellent. © 2003 Elsevier Science B.V. All rights reserved.
Año de publicación:
2003
Keywords:
- dynamic modeling
- Solid-oxide fuel cell (SOFC)
- Power systems simulation
Fuente:

Tipo de documento:
Article
Estado:
Acceso restringido
Áreas de conocimiento:
- Energía
- Red neuronal artificial
Áreas temáticas de Dewey:
- Física aplicada
- Métodos informáticos especiales

Objetivos de Desarrollo Sostenible:
- ODS 7: Energía asequible y no contaminante
- ODS 13: Acción por el clima
- ODS 9: Industria, innovación e infraestructura
