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Parameter Identification of Steam Turbine Speed Governor System

Authors: Tao Yang; Yongxin Feng; Tao Yang; Yong Ren; Lei Tang; Yanghai Li;

Parameter Identification of Steam Turbine Speed Governor System

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.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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