DocumentCode
3386340
Title
Parameter Identification of Steam Turbine Speed Governor System
Author
Yang Tao ; Feng Yongxin ; Ren Yong ; Tang Lei ; Li Yanghai
Author_Institution
Electr. Power Sci. Res. Inst., Guangdong Power Grid Corp., Guangzhou, China
fYear
2012
fDate
27-29 March 2012
Firstpage
1
Lastpage
8
Abstract
The dynamic characteristics of the steam turbine speed governor system is one of the major factor that influence the security of the power system. It has important practical significance for the security of the power system to establish the detailed dynamic model of the steam turbine speed governor system through parameter identification. This paper starts from the actual needs of the modeling of steam turbine speed governor system, several key issues such as field test of the speed control system, data preprocessing, parameter identification and simulation verification are researched, the solution of the key problems in the field static test and dynamic disturbance test is summarized, a variety of data preprocessing algorithms and parameter identification algorithms are achieved, and a new method for the simulation verification is proposed. On this basis, software based on MATLAB for the parameter identification of the steam turbine governor system is developed, which can perform the data preprocessing, parameter identification and simulation verification. The software offers a variety of parameter identification method to identify the linear and nonlinear part of the system model quickly and efficiently, and provides detailed qualitative and quantitative method for the evaluation of the simulation verification. The parameter identification results of steam turbine governor system of a power plant show that the software is user friendly and feature rich, and also show that it can complete parameter identification of steam turbine speed governor system intelligently and precisely.
Keywords
mathematics computing; power system faults; power system parameter estimation; power system security; steam turbines; Matlab; data preprocessing algorithm; dynamic disturbance test model; field static test; parameter identification; power system security; qualitative method; quantitative method; speed control system; steam turbine speed governor system; Analytical models; Convergence; Data models; Mathematical model; Parameter estimation; Turbines; Valves;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location
Shanghai
ISSN
2157-4839
Print_ISBN
978-1-4577-0545-8
Type
conf
DOI
10.1109/APPEEC.2012.6307028
Filename
6307028
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