The development of power electronic system has brought the application of solid-state power converters in a variety of new fields of application. For example, the number of power converter varies from a few converters in a conventional car to hundreds in a international space station. A multiconverter power system is composed by the presence of different solid-state power converters integrated together in order to form an interconnected system, generally very complex. In this work stability conditions are investigated, starting at First from a conventional mathematical model derived using state-space averaging method. Preliminary experimental tests, however, proved the importance of parasitic parameters on the stability of the whole system. A more complete model that takes into account real parameters is then introduced, in order to obtain more precise predictions on critical load values. Final experimental test verified the validity of the model and the accordance with predictions.
Stability conditions for multi-converter power systems / Luca Del, Ferraro; GIULII CAPPONI, Fabio. - STAMPA. - 2005:(2005), pp. 137-142. (Intervento presentato al convegno IEEE Vehicle Power and Propulsion Conference (VPPC) tenutosi a Chicago, IL nel SEP 07-09, 2005) [10.1109/vppc.2005.1554546].
Stability conditions for multi-converter power systems
GIULII CAPPONI, Fabio
2005
Abstract
The development of power electronic system has brought the application of solid-state power converters in a variety of new fields of application. For example, the number of power converter varies from a few converters in a conventional car to hundreds in a international space station. A multiconverter power system is composed by the presence of different solid-state power converters integrated together in order to form an interconnected system, generally very complex. In this work stability conditions are investigated, starting at First from a conventional mathematical model derived using state-space averaging method. Preliminary experimental tests, however, proved the importance of parasitic parameters on the stability of the whole system. A more complete model that takes into account real parameters is then introduced, in order to obtain more precise predictions on critical load values. Final experimental test verified the validity of the model and the accordance with predictions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
