PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

A Novel Prony Approach for Synchronous Generator Parameter Estimation

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Nowa metoda bazująca na algorytmie Prony do określania parametrów generatora synchronicznego
Języki publikacji
EN
Abstrakty
EN
In this paper we propose to use a novel Prony’s approach, relying on suitable time-segmentation of current oscillograms and proper model order choice, to estimate transient and sub-transient parameters of synchronous generators associated to sudden three-phase short-circuit tests. Comparison between the proposed approach and a traditional graphical method, described in the IEEE-115 standard, has been performed. The current data used here have been generated from characteristic equations of short-circuit armature current. Based on these results, we conclude that the Prony’s algorithm is a suitable alternative to the graphical method for parameter estimation in synchronous machines, providing more accurate estimates than the later approach.
PL
W artykule zaproponowano system, bazujący na algorytmie Prony, służący do analizy stanów przejściowych w generatorze synchronicznym poddanym testom trójfazowego zwarcia. Porównano tę metodę z tradycyjną metodą bazującą na normie IEEE-115. Algorytm wykorzystujący metodę Prony był bardzie dokładny.
Rocznik
Strony
50--54
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
  • Federal Institute of Sergipe, Av. Engenheiro Gentil Tavares 1166, 49055-260, Aracaju-SE-Brazil
  • Federal University of Bahia, Department of Electrical Engineering, Rua Aristides Novis 2, 40210-630, Salvador-BA-Brazil
autor
  • Federal University of Bahia, Department of Electrical Engineering, Rua Aristides Novis 2, 40210-630, Salvador-BA-Brazil
autor
  • Federal University of Bahia, Department of Electrical Engineering, Rua Aristides Novis 2, 40210-630, Salvador-BA-Brazil
Bibliografia
  • [1] Hassannia, A., Darabi A., Alshamali M.: Estimation of Dynamic Parameters of a Synchronous Generation using Genetic Algorithm, IEEJ Transactions on Electrical and Electronic Engineering, 4(5), pp. 668–673, Sep. 2009.
  • [2] Lidenholm J., Lundin U.: Estimation of Hydropower Generator Parameters Through Field Simulations of Standard Tests, IEEE Transactions on Energy Conversion, 25(4), pp. 931–939, Dec. 2010.
  • [3] Arjona M.A., Cisneros-Gonzales M., Hernandez C.: Parameter Estimation of a Synchronous Generator Using a Sine Cardinal Perturbation and Mixed Stochastic–Deterministic Algorithms, it IEEE Transactions on Industrial Electronics, 58(2), pp. 486–493, Feb. 2011.
  • [4] Cisneros-Gonzales M., Hernandez C., Morales-Caporal R., Bonilla-Huerta E., Arjona, M.A.: Parameter Estimation of a Synchronous-Generator Two-Axis Model Based on the Standstill Chirp Test, IEEE Transactions on Energy Conversion, 28(1), pp. 44–51, Mar. 2013.
  • [5] Chapariha M., Therrien F., Jatskevich J., Dommel H. W.: Explicit Formulations for Constant-Parameter Voltage-Behind- Reactance Interfacing of Synchronous Machine Models, IEEE Transactions on Energy Conversion, 28(4), pp. 1053–1063, Dec. 1998.
  • [6] Ahmadi S.S., Karrari M.: Nonlinear Identification of Synchronous Generators Using a Local Model Approach, Przeglad Elektrotechniczny, 87(8), pp. 166–170, 2011.
  • [7] Paszek S., Bobon A., Berhausen S.: Estimation of Turbogenerator Electromagnetic Parameters Based on Verified by Measurements Waveforms Computed by the Finite Element Method, Przeglad Elektrotechniczny, 86(8), pp. 16–21, 2010.
  • [8] IEEE Standard IEEE Guide for Test Procedures for Synchronous Machines, PART II - Test Procedures and Parameter Determination for Dynamic Analysis, 2009.
  • [9] Kannan N., Kundu D.: On modified EVLP and ML methods for estimating superimposed exponential signals Signal Processing, 39(3), pp. 223–233, 1994.
  • [10] Cheng-I Chen., Chang, G.W.: An Efficient Prony-Based Solution Procedure for Tracking of Power System Voltage Variations IEEE Transactions on Industrial Electronics, 60(7), pp. 2681–2688, 2013.
  • [11] Cheng-I Chen., Chang, G.W.: An Efficient Prony-Based Solution Procedure for Tracking of Power System Voltage Variations IEEE Transactions on Industrial Electronics, 60(7), pp. 2681–2688, 2013.
  • [12] Sitton, G.A., Burrus, C.S., Fox, J.W., Treitel, Sven Included in Your Digital Subscription Factoring very-high-degree polynomials IEEE Signal Processing Magazine, 20(6), pp. 27–42, 2003.
  • [13] Xuan M.T., Simond J.J., Schwery A., Regli P.: Fully Automated Identification for Synchronous Machines, Hydropower & Dams, Crvtat (Croatia), pp. 3–6, Nov. 2003.
  • [14] Talebi M.A., Rahimpour M., Gholami A., Vahedi A., Shayanfar H.A.: A Genetic Algorithm Approach for Identifying Synchronous Generator Parameters from Excitation Disturbance Test, IEEE Power Engineering Society General Meeting, 10(3), pp. 1–8, Sep. 2007.
  • [15] Mouni SE., Tnani S., Champenois E.: Synchronous Generator Modeling and Parameters Estimation using Least Squares Method, Simulation Modelling Practice and Theory, vol. 16, pp. 678–689, 2008.
  • [16] Xingang C., Luming J., Xusheng W., Kaisheng Y., Zhifei W.: New Approach to Determine Parameters of Synchronous Machine Using Wavelet Transform and Prony Algorithm, International Conference on Power System Technology, vol. 1, pp. 1096–1099, 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b6c47aa5-072c-484f-a254-33f2dd1e1f1d
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.