TY - GEN
T1 - Analytical and experimental modeling of brushless excitation system at normal operating conditions
AU - Hasani, M.
AU - Rasouli, M.
PY - 2005
Y1 - 2005
N2 - In this paper, modeling and identification of the excitation system in the thermal unit #3 of Touss power plant in Iran is presented. Two approaches of modeling, i.e. analytical and experimental modeling are used. In the analytical method, first, using the documents and circuit diagrams in the power station, a block-diagram for excitation system was suggested, then based on the extracted block diagram, a test procedure was defined and performed. The input output data corresponding to each block was obtained through the field tests. Time domain data at proper inputs and outputs associated with the model was recorded by a16_bit data acquisition system. In these approaches, the only nonlinearities considered in the block diagram are the limits. The other nonlinearities are reflected in the change of parameters in the linear transfer functions at different operating conditions. The simulation results and their comparison, show the good accuracy of derived models.
AB - In this paper, modeling and identification of the excitation system in the thermal unit #3 of Touss power plant in Iran is presented. Two approaches of modeling, i.e. analytical and experimental modeling are used. In the analytical method, first, using the documents and circuit diagrams in the power station, a block-diagram for excitation system was suggested, then based on the extracted block diagram, a test procedure was defined and performed. The input output data corresponding to each block was obtained through the field tests. Time domain data at proper inputs and outputs associated with the model was recorded by a16_bit data acquisition system. In these approaches, the only nonlinearities considered in the block diagram are the limits. The other nonlinearities are reflected in the change of parameters in the linear transfer functions at different operating conditions. The simulation results and their comparison, show the good accuracy of derived models.
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U2 - 10.1109/PTC.2005.4524571
DO - 10.1109/PTC.2005.4524571
M3 - Conference contribution
AN - SCOPUS:51549106905
SN - 9781424418749
T3 - 2005 IEEE Russia Power Tech, PowerTech
BT - 2005 IEEE Russia Power Tech, PowerTech
T2 - 2005 IEEE Russia Power Tech, PowerTech
Y2 - 27 June 2005 through 30 June 2005
ER -