Title :
Modeling micro-turbines on the distribution system using identification algorithms
Author :
Cano, Antonio ; Jurado, Francisco
Author_Institution :
Dept. of Electr. Eng., Jaen Univ., Linares, Spain
Abstract :
To determine the potential impacts of micro-turbines on future distribution system, dynamic models of micro-turbines 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 micro-turbines 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 :
autoregressive processes; distribution networks; linear systems; time-domain analysis; transfer functions; turbines; Box-Jenkins algorithm; distribution system; identification algorithms; low order linear system; microturbines; test feeders; time domain simulations; transfer function; Control systems; Fuels; Linear systems; Mathematical model; Power system analysis computing; Power system dynamics; Power system modeling; Power system simulation; Time measurement; Turbines;
Conference_Titel :
Emerging Technologies and Factory Automation, 2003. Proceedings. ETFA '03. IEEE Conference
Print_ISBN :
0-7803-7937-3
DOI :
10.1109/ETFA.2003.1248769