DocumentCode
2789361
Title
Nonlinear model identification of fuel cell power plant
Author
Jurado, Francisco
Volume
2
fYear
2004
fDate
15-17 Sept. 2004
Firstpage
769
Abstract
Probably, fuel cell will be a dominant distributed energy resource. The computational burden required for the simulation is highly dependent on the complexity and accuracy of each model. The factory need often to provide the user a reliable low-complexity prototype model of the fuel cell, sufficiently accurate for the above application. In This work the nonlinear autoregressive exogenous (NARX) approach is used to analyse the dynamics of this fuel cell.
Keywords
autoregressive processes; distribution networks; fuel cell power plants; nonlinear dynamical systems; power system identification; power system simulation; solid oxide fuel cells; SOFC; distributed energy resource; fuel cell power plant; nonlinear autoregressive exogenous; nonlinear model identification; nonlinear systems; power distribution; solid oxide fuel cells; Atmospheric modeling; Chemicals; Fuel cells; Inverters; Nitrogen; Parameter estimation; Power generation; Power system modeling; Reactive power; Solids;
fLanguage
English
Publisher
ieee
Conference_Titel
AFRICON, 2004. 7th AFRICON Conference in Africa
Print_ISBN
0-7803-8605-1
Type
conf
DOI
10.1109/AFRICON.2004.1406788
Filename
1406788
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