Iranian Journal of Electrical and Electronic Engineering
IJEEE
Engineering & Technology
http://ijeee.iust.ac.ir
18
agent2
1735-2827
2383-3890
10.22068/IJEEE
en
jalali
1393
3
1
gregorian
2014
6
1
10
2
online
1
fulltext
en
Online State Space Model Parameter Estimation in Synchronous Machines
3-Parameter Estimation
Parameter Estimation
Research Paper
Research Paper
The purpose of this paper is to present a new approach based on the Least Squares Error method for estimating the unknown parameters of the nonlinear 3rd order synchronous generator model. The proposed method uses the mathematical relationships between the machine parameters and on-line input/output measurements to estimate the parameters of the nonlinear state space model. The field voltage is considered as the input and the rotor angle and the active power are considered as the generator outputs. In fact, the third order nonlinear state space model is converted to only two linear regression equations. Then, easy-implemented regression equations are used to estimate the unknown parameters of the nonlinear model.
The suggested approach is evaluated for a sample synchronous machine model. Estimated parameters are tested for different inputs at different operating conditions. The effect of noise is also considered in this study. Simulation results show that the proposed approach provides good accuracy for parameter estimation.
synchronous machine, state space model, identification, nonlinear model, regression equation
124
132
http://ijeee.iust.ac.ir/browse.php?a_code=A-10-626-1&slc_lang=en&sid=1
Z.
Gallehdari
gallehdari_z@aut.ac.ir
`180031947532846002741`

180031947532846002741
No
Amirkabir University of Technology
M.
Dehghani
mdehghani@shirazu.ac.ir
`180031947532846002742`

180031947532846002742
Yes
Shiraz University
K.
Nikravesh
nikravesh@aut.ac.ir
`180031947532846002743`

180031947532846002743
No
Amirkabir University of Technology