DocumentCode :
1669789
Title :
Modeling fuel cell plants on the distribution system using identification algorithms
Author :
Jurado, F. ; Saenz, J.R. ; Fernandez, L.
Author_Institution :
Dept. of Electr. Eng., Univ. of Jaen, Linares, Spain
Volume :
3
fYear :
2004
Firstpage :
1003
Abstract :
To determine the potential impacts of fuel cells on future distribution system, dynamic models of fuel cells should be created, reduced in order, and scattered throughout test feeders. This paper presents the implementation of an efficient method for computing low order linear system models of solid oxide fuel cells (SOFCs) from time domain simulations. The method is the Box-Jenkins algorithm for calculating the transfer function of a linear system from samples of its input and output.
Keywords :
linear systems; power distribution control; power system identification; power system simulation; reduced order systems; solid oxide fuel cells; time-domain analysis; transfer functions; Box-Jenkins algorithm; SOFC; distribution system; dynamic models; fuel cell plants; identification algorithms; low order linear system models; reduced order system; solid oxide fuel cells; test feeders; time domain simulations; transfer function; Computational modeling; Fuel cells; Linear systems; Mathematical model; Power system analysis computing; Power system dynamics; Power system modeling; Power system simulation; Solid modeling; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrotechnical Conference, 2004. MELECON 2004. Proceedings of the 12th IEEE Mediterranean
Print_ISBN :
0-7803-8271-4
Type :
conf
DOI :
10.1109/MELCON.2004.1348223
Filename :
1348223
Link To Document :
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