Title :
Synchronous generator parameters estimation using genetic algorithm via DC decay field tests
Author :
Jahromi, M. Esmi ; Rasouli, M. ; Ranjbar, M.
Author_Institution :
Azad Univ., Saveh
Abstract :
In this paper DC-decay procedure and its implementation for determining synchronous machine parameters at gas units of Ghom power plant is presented. DC-decay time domain data are acquired from standstill test measurements. The direct axis and quadrature-axis dynamic parameters are found through processing the step response of the synchronous machine at standstill position. Genetic algorithm approach is employed to identify the desired parameters. This test procedure reduces the required power and minimizes the testing time; but presents a limited precision because of the low flux level and standstill condition. The simulation results and their comparison to the actual measured signals show the accuracy of the derived models.
Keywords :
genetic algorithms; parameter estimation; power stations; synchronous generators; DC decay field tests; Ghom power plant; genetic algorithm; low flux level-standstill condition; quadrature-axis dynamic parameters; standstill test measurements; synchronous generator parameters estimation; synchronous machine parameters; Circuit testing; Genetic algorithms; Parameter estimation; Power generation; Power system modeling; Rotors; Stators; Synchronous generators; Synchronous machines; Voltage; DC-Decay Test; Genetic Algorithm Synchronous Generator; Parameter Estimation;
Conference_Titel :
Power Tech, 2005 IEEE Russia
Conference_Location :
St. Petersburg
Print_ISBN :
978-5-93208-034-4
Electronic_ISBN :
978-5-93208-034-4
DOI :
10.1109/PTC.2005.4524728