Mathematical Modelling and Parameter Estimation of an Industrial Steam Turbine-Generator Based on Operational Data

In this paper, mathematical modeling and identification of an industrial, 200 MW steam turbine and generator are taken into consideration based on operational data. This data is acquired by the measuring devices and data acquisition systems from precisely designed tests. Due to the significance of p...

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Bibliographic Details
Published inIFAC-PapersOnLine Vol. 51; no. 2; pp. 214 - 219
Main Authors Khalili, Ramtin, Rabieyan, Hadi, Khodadadi, Abolfazl, Zaker, Behrooz, Karrari, Mehdi, Karrari, Shahab
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2018
Subjects
Mathematical Modelling
Operational Data
Parameter Estimation
Steam Turbine
Parameter Estimation
Mathematical Modelling
Operational Data
Steam Turbine
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Summary:In this paper, mathematical modeling and identification of an industrial, 200 MW steam turbine and generator are taken into consideration based on operational data. This data is acquired by the measuring devices and data acquisition systems from precisely designed tests. Due to the significance of power systems dynamic studies, steam turbine-generator as the main part of this system deserves an accurate and consistent dynamical model. After introducing the operation and the main parts of the studied steam turbine-generator, an appropriate mathematical model which best describes the behavior of the real system is proposed. In the next step, parameters of the suggested model and the generator are estimated using the nonlinear least squares (NLS) method. The accuracy of the suggested model with the estimated parameters is investigated by comparing the model response with the real data.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2018.03.037