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