<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In recent years, there have occurred system failures in many power systems all over the world. They have resulted in a lack of power supply to a large number of recipients. To minimize the risk of occurrence of power failures, it is necessary to perform multivariate investigations, including simulations, of power system operating conditions. To conduct reliable simulations, the current base of parameters of the models of generating units, containing the models of synchronous generators, is necessary. In the paper, there is presented a method for parameter estimation of a synchronous generator nonlinear model based on the analysis of selected transient waveforms caused by introducing a disturbance (in the form of a pseudorandom signal) in the generator voltage regulation channel. The parameter estimation was performed by minimizing the objective function defined as a mean square error for deviations between the measurement waveforms and the waveforms calculated based on the generator mathematical model. A hybrid algorithm was used for the minimization of the objective function. In the paper, there is described a filter system used for filtering the noisy measurement waveforms. The calculation results of the model of a 44 kW synchronous generator installed on a laboratory stand of the Institute of Electrical Engineering and Computer Science of the Silesian University of Technology are also given. The presented estimation method can be successfully applied to parameter estimation of different models of high-power synchronous generators operating in a power system.</p></abstract>

In recent years, there have occurred system failures in many power systems all over the world. They have resulted in a lack of power supply to a large number of recipients. To minimize the risk of occurrence of power failures, it is necessary to perform multivariate investigations, including simulations, of power system operating conditions. To conduct reliable simulations, the current base of parameters of the models of generating units, containing the models of synchronous generators, is necessary. In the paper, there is presented a method for parameter estimation of a synchronous generator nonlinear model based on the analysis of selected transient waveforms caused by introducing a disturbance (in the form of a pseudorandom signal) in the generator voltage regulation channel. The parameter estimation was performed by minimizing the objective function defined as a mean square error for deviations between the measurement waveforms and the waveforms calculated based on the generator mathematical model. A hybrid algorithm was used for the minimization of the objective function. In the paper, there is described a filter system used for filtering the noisy measurement waveforms. The calculation results of the model of a 44 kW synchronous generator installed on a laboratory stand of the Institute of Electrical Engineering and Computer Science of the Silesian University of Technology are also given. The presented estimation method can be successfully applied to parameter estimation of different models of high-power synchronous generators operating in a power system.

Synchronous Generator Model Parameter Estimation Based on Noisy Dynamic Waveforms

Silesian University of Technology, Faculty of Electrical Engineering, Institute of Electrical Engineering and Computer Science, ul. Akademicka 10, 44-100 Gliwice, Poland

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In recent years, there have occurred system failures in many power systems all over the world. They have resulted in a lack of power supply to a large number...

Synchronous Generator Model Parameter Estimation Based on Noisy Dynamic Waveforms

Publié en ligne: 17 mars 2016

Pages: 21 - 28

Reçu: 14 sept. 2015

DOI: https://doi.org/10.1515/jee-2016-0003

Mots clés
parameter estimation, synchronous generator in power system, pseudorandom signals PRBS, zero-phase waveform filtering, laboratory measurements

© 2016 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Synchronous Generator Model Parameter Estimation Based on Noisy Dynamic Waveforms

Publié en ligne: 17 mars 2016

Pages: 21 - 28

Reçu: 14 sept. 2015

DOI: https://doi.org/10.1515/jee-2016-0003

Mots clésparameter estimation, synchronous generator in power system, pseudorandom signals PRBS, zero-phase waveform filtering, laboratory measurements

© 2016 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
parameter estimation, synchronous generator in power system, pseudorandom signals PRBS, zero-phase waveform filtering, laboratory measurements