Title

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

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2017

Volume

65

Issue

No 4

Authors

Boboń, A. ; Paszek, S. ; Nocoń, A. ; Pruski, P.

Divisions of PAS

Nauki Techniczne

Coverage

479-488

Date

2017

Identifier

DOI: 10.1515/bpasts-2017-0053 ; ISSN 2300-1917

Source

Bulletin of the Polish Academy of Sciences: Technical Sciences; 2017; 65; No 4; 479-488

References

Paszek (2013), Measurement estimation of dynamic parameters of synchronous generators and excitation systems working in the National Power System Monograph in Polish, null, 504. ; Gołębiowski (2007), Magnetic non - linearity in FEM models of the electric machines Academic Journals of Poznan University of Technology, null, 1. ; Feltes (2002), Deriving Model Parameters from Field Test Measurements in, IEEE Computer Applications Power, 25, 30. ; Krause (1986), of Electric Company New York, Analysis Machinery, 20. ; Mouni (2008), Synchronous generator modelling and parameters estimation using least squares method Simulation Modelling Practice and, Theory, 29, 678. ; Chee (1998), Dynamic Simulation of Electric using New Jersey, Machinery, 23. ; Kundur (1994), System Stability Control New York, Power, 21. ; Ghomi (2007), of synchronous generator parameters estimation and model identification nd International Universities Conference, Review Power Engineering, 228. ; Arjona (2012), Estimation of synchronous generator parameters using the standstill step - voltage test and a hybrid genetic algorithm Electrical Systems, Power Energy, 105. ; Pruski (2016), The modal analysis of selected disturbance waveforms in a power system Determination of angular stability factors Monograph in Polish, null, 12, 592. ; Boboń (2011), - aided determining of parameters of generating unit models based on measurement tests Elektrotechniczny, Computer, 16, 5. ; Rade (2004), Mathematics Handbook for Verlag, Science Engineering, 13. ; Oppenheim (1974), Processing, Digital Signal, 27. ; Dehghani (2010), Synchronous machine model parameters estimation by a time - domain identification method Electrical Systems, Power Energy, 28, 524. ; Serafi (1991), Effect of saturation on the steady - state stability of a synchronous machine connected to an infinite bus system, IEEE Trans Energy Conversion, 6, 514. ; Anderson (2003), System Control Stability New York, Power, 22. ; Paszek (2014), and Polyoptimisation of Power System Stabilizer Parameters Academic Publishing, null, 19. ; Bonnans (2006), Numerical Optimization Theoretical Practical Aspects Verlag, null, 14. ; (1110), Guide for Synchronous Generator Modeling Practices and Application in Power System Stability Analyses, IEEE IEEE. ; Bissig (1993), Modelling and identification of synchronous machines a new approach with an extended frequency range, IEEE Trans Energy Conversion, 8, 263. ; Bortoni (2002), Identification of Synchronous Machine Parameters using Load Rejection Test Data Transaction on, IEEE Energy Conversion, 24, 242. ; Paszek (2008), Computations of the model parameters of generating unit elements based on measurements AT PLUS, Journal, 30, 22008. ; Majka (2016), Mathematical model parameter estimation of a generating unit operating in the Polish National Power System Pol, Tech, 11, 409. ; Kalu (2011), Numerical with Applications University of South Florida, Methods, 15. ; Paszek (2005), Abi Parameter estimation of the mathematical model of a generator excitation system and turbine Przegląd Elektrotechniczny, null, 18, 7. ; Huang (2010), Estimating parameters of synchronous generators using square - root unscented Kalman filter, Electric Power Systems Research, 1137. ; Mello (1981), de Validation of Synchronous Machine Models and Derivation of Model Parameters from Tests Transaction on Power Apparatus and Systems, IEEE, 17, 662.