Method, Algorithm and Module of a Parameter Estimation Program for Mathematical Models of Synchronous Generator and Excitation Systems

2020 ◽  
pp. 71-98
Author(s):  
Stefan Paszek ◽  
Andrzej Boboń ◽  
Sebastian Berhausen ◽  
Łukasz Majka ◽  
Adrian Nocoń ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Mathematical Models ◽  
Synchronous Generator ◽  
Estimation Program

scholarly journals Determination of synchronous generator nonlinear model parameters based on power rejection tests using a gradient optimization algorithm

2017 ◽  
Vol 65 (4) ◽  
pp. 479-488 ◽  
Author(s):  
A. Boboń ◽  
A. Nocoń ◽  
S. Paszek ◽  
P. Pruski
Keyword(s):  
Parameter Estimation ◽  
Objective Function ◽  
Optimization Algorithm ◽  
Least Squares Method ◽  
Synchronous Generator ◽  
Operating Conditions ◽  
Model Parameters ◽  
State Variables ◽  
Starting Point ◽  
Gradient Optimization

AbstractThe paper presents a method for determining electromagnetic parameters of different synchronous generator models based on dynamic waveforms measured at power rejection. Such a test can be performed safely under normal operating conditions of a generator working in a power plant. A generator model was investigated, expressed by reactances and time constants of steady, transient, and subtransient state in the d and q axes, as well as the circuit models (type (3,3) and (2,2)) expressed by resistances and inductances of stator, excitation, and equivalent rotor damping circuits windings. All these models approximately take into account the influence of magnetic core saturation. The least squares method was used for parameter estimation. There was minimized the objective function defined as the mean square error between the measured waveforms and the waveforms calculated based on the mathematical models. A method of determining the initial values of those state variables which also depend on the searched parameters is presented. To minimize the objective function, a gradient optimization algorithm finding local minima for a selected starting point was used. To get closer to the global minimum, calculations were repeated many times, taking into account the inequality constraints for the searched parameters. The paper presents the parameter estimation results and a comparison of the waveforms measured and calculated based on the final parameters for 200 MW and 50 MW turbogenerators.

scholarly journals Data-driven selection and parameter estimation for DNA methylation mathematical models

2019 ◽  
Vol 467 ◽  
pp. 87-99 ◽  
Author(s):  
Karen Larson ◽  
Loukas Zagkos ◽  
Mark Mc Auley ◽  
Jason Roberts ◽  
Nikos I. Kavallaris ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Parameter Estimation ◽  
Mathematical Models ◽  
Data Driven

Parameter estimation of a synchronous generator model under unbalanced operating conditions

2020 ◽  
Vol 187 ◽  
pp. 106487 ◽  
Author(s):  
Edson L. Geraldi ◽  
Tatiane C.C. Fernandes ◽  
Artur B. Piardi ◽  
Ahda P. Grilo ◽  
Rodrigo A. Ramos
Keyword(s):  
Parameter Estimation ◽  
Synchronous Generator ◽  
Operating Conditions ◽  
Generator Model

scholarly journals An Adaptive Bayesian Parameter Estimation of a Synchronous Generator Under Gross Errors

2020 ◽  
Vol 16 (8) ◽  
pp. 5088-5098 ◽  
Author(s):  
Yijun Xu ◽  
Lamine Mili ◽  
Mert Korkali ◽  
Xiao Chen
Keyword(s):  
Parameter Estimation ◽  
Synchronous Generator ◽  
Bayesian Parameter Estimation
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