DocumentCode :
1605163
Title :
Study of the modeling of hydroturbine generating set
Author :
Fangtong, Xu ; Yonghua, Li ; Qijuan, Cheng
Author_Institution :
Wuhan Univ. of Hydraulic & Electr. Eng., China
fYear :
1995
Firstpage :
644
Lastpage :
647
Abstract :
To design or operate the hydroturbine governing system of hydroelectric power plant the dynamic model of hydroturbine generating set is needed, but it is hard to obtain it theoretically. Using system identification and parameter estimation is effective. Based on the field test of real machine set and using recursive least-square estimation (RLES) algorithm, the authors approach the selection of exciting signal parameters and sampling period; the relationship between matrix P and identified parameters convergence; the interaction of forgetting factor λ and the positive definite matrix P etc. The paper emphasises practical problems with real machines. The modeling of dynamic model between the opening of guide vane (input) and the rotating speed of hydroturbine generating set (output) is a very important topic in the design or operation of hydraulic turbine governing system, because it decides the regulation parameters of the governor, specially at the nonload state
Keywords :
hydroelectric generators; least squares approximations; modelling; recursive estimation; turbogenerators; exciting signal parameters; forgetting factor; guide vane opening; hydroelectric power plant; hydroturbine generating set modeling; hydroturbine governing system; identified parameters convergence; parameter estimation; positive definite matrix; recursive least-square estimation; rotating speed; sampling period; system identification; Convergence; Hydroelectric power generation; Parameter estimation; Power generation; Power system modeling; Recursive estimation; Sampling methods; Signal processing; System identification; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Automation and Control: Emerging Technologies, 1995., International IEEE/IAS Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2645-8
Type :
conf
DOI :
10.1109/IACET.1995.527634
Filename :
527634
Link To Document :
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