Mathematical model parameter estimation of a generating unit operating in the Polish National Power System

• Autorzy: Majka Ł. , Paszek S.

Identyfikatory

DOI

10.1515/bpasts-2016-0046

• Języki publikacji: EN

Abstrakty

EN

In the paper, a method and results of parameter estimation of the mathematical model of a generating unit operating in the Polish National Power System are presented. Computations of the parameters were carried out based on measurement and simulation of dynamic waveforms of selected quantities of the generating unit. The problem of parameter identification was brought to minimization of the objective function determined by the vector of deviations between the approximated and approximating waveforms computed on the basis of the models expressed by the searched parameters. A hybrid optimization algorithm, being a serial combination of genetic and gradient algorithms, was used for minimization of the objective function. A methodology for filtering the recorded measurement signals is proposed in the paper. Method and results calculation of the sensitivity to changes of the model parameters of selected dynamic waveforms are also presented.

Słowa kluczowe

EN

power system; generating unit; optimization; study of dynamic models

PL

system zasilania; optymalizacja; badanie modeli dynamicznych

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2016
• Tom: Vol. 64, nr 2
• Strony: 409--416
• Opis fizyczny: Bibliogr. 17 poz., rys., wykr., tab.

Twórcy

autor

Majka Ł.

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

autor

Paszek S.

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

Bibliografia

• [1] S. Paszek, S. Berhausen, A. Boboń, Ł. Majka, A. Nocoń, M. Pasko, P. Pruski and T. Kraszewski, Measurement Estimation of Dynamic Parameters of Synchronous Generators and Excitation Systems Working in the National Power System, Silesian University of Technology Publishing House, Gliwice, 2008, (in Polish).
• [2] S. Paszek and A. Nocoń, Optimisation and Polyoptimisation of Power System Stabilizer Parameters, LAMBERT Acedemic Publishing, Saarbrücken, 2014.
• [3] Power Technologies, a Division of S&W Consultants Inc., Program PSS/E Application Guide, Siemens Power Technologies Inc., 2002.
• [4] IEEE Committee Report, “Dynamic Models for Steam and Hydro Turbines in Power System Studies”, IEEE Transactions on Power Apparatus and Systems, Vol. PAS-92, No. 6, 1904-1915 (1973).
• [5] T. Kraszewski, Ł. Majka, M. Pasko and S. Paszek, “Sensitivity Analysis of the Electromachine Excitation System Model”, Proc. 9th International Conference Control of Power Systems CPS 2010, Tatranské Matliare, High Tatras, Slovak Republic, 29-30 (2010).
• [6] A. Nocoń, M. Pasko and S. Paszek, “Sensitivity analysis including uncertainty of synchronous generator model parameter”, Proc. 9th International Conference Control of Power Systems CPS 2010, Tatranské Matliare, High Tatras, Slovak Republic, 27-28 (2010).
• [7] J.W. Feltes and L.T.G. Lima, “Validation of Dynamic Model Parameters for Stability Analysis: Industry Need, Current Practices and Future Trends”, Power Engineering Society General Meeting IEEE 2003, Vol. 3, 1295-1301 (2003).
• [8] S. Paszek, A. Boboń, J. Kudła, J. Białek and N. Abi-Samra, “Parameter Estimation of the Mathematical Model of a Generator, Excitation System and Turbine”, Przegląd Elektrotechniczny, No. 11, 7-12 (2005).
• [9] S. Berhausen and S. Paszek, “Parameter estimation of the model of a synchronous generator working in multi-machine power system”, Przegląd Elektrotechniczny, No. 8, 192-197 (2011), (in Polish).
• [10] A. Nocoń and S. Paszek, “Synthesis of generator voltage regulator when applying polyoptimisation”, Bull. Pol. Ac.: Tech. 55 (1), 43-48 (2007).
• [11] Ł. Majka and S. Paszek, “Use of hybrid algorithm for estimation of generating unit mathematical model parameters”, Przegląd Elektrotechniczny, No. 8, 70-76 (2010), (in Polish).
• [12] Online Documentation for MathWorks Products, 2014, (www.mathworks.com).
• [13] S.N. Sivanandam and S.N. Deepa, Introduction to Genetic Algorithms, Springer-Verlag, Berlin Heidelberg, 2008.
• [14] S. Paszek, A. Nocoń, “Parameter polyoptimization of PSS2A power system stabilizers operating in a multi-machine power system including the uncertainty of model parameters”, Elsevier, Applied Mathematics and Computation 267 (http://dx.doi.org/10.1016/j.amc.2014.12.013), 750-757 (2015).
• [15] P. Pruski and S. Paszek, “Assessment of Polish Power System angular stability based on analysis of different disturbance waveforms”, Bull. Pol. Ac.: Tech. 63 (2), 435-441 (2015).
• [16] A. Oppenheim and R. Schafer, Discrete-time signal processing. 2nd Edition, Prentice Hall, Upper Saddle River, 1999.
• [17] S. Berhausen and S. Paszek, “Use of the finite element method for parameter estimation of the circuit model of a high power synchronous generator”, Bull. Pol. Ac.: Tech., 63 (3), 575-582 (2015).

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.