Synchronous generator nonlinear model identification using wiener-neural model

Proceedings of the Universities Power Engineering Conference

Volumn , Issue , 2007, Pages 236-241

  Ghomi, M ^a   Sarem, Y Najafi ^b   Kermajani, H R ^a   Poshtan, J ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Black box modelling; Model identification; Synchronous generator; Wiener Neural model

Indexed keywords

BLACK BOX MODELLING; FIELD VOLTAGE; MACHINE SYSTEMS; MODEL IDENTIFICATION; NEURAL MODELING; NONLINEAR MODEL IDENTIFICATION; OUTPUT POWERS; POWER ENGINEERING; SATURATION EFFECTS; SYNCHRONOUS GENERATOR; TERMINAL VOLTAGES; WIENER-NEURAL MODEL;

SYNCHRONOUS GENERATORS; TECHNOLOGY;

SYNCHRONOUS MACHINERY;

EID: 51849127482     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UPEC.2007.4468952     Document Type: Conference Paper

References (19)

1. L. A. Kilgore, "Calculation of synchronous machine constants," AIEE Trans., vol. 50, pp. 1201-1214, Dec. 1931.
2. L. A. Kilgore, "Calculation of synchronous machine constants," AIEE Trans., vol. 50, pp. 1201-1214, Dec. 1931.
3. S. H. Wright, "Determination of synchronous machine constants by test," AIEE Trans., vol. 50, pp. 1331-1351, Dec. 1931.
4. Standard 115-1995 IEEE Guide: Test Procedures for Synchronous Machines, Part I - Acceptance and Performance Testing, Part II - Test Procedures and Parameter Determination for Dynamic Analysis.
5. Richard E. Fairbairn and Ronald G. Harley, "On-Line Measurement of Synchronous Machine Parameters", IEEE TRANS ON INDUSTRY APPLICATIONS, VOL 28, NO 3, MAY/JUNE 1992 639-645
6. Melgoza J., Jesus Rico, Heydt, G.T., Keyhani A., "An algebraic approach for identifying operating point dependent parameters of synchronous machine using orthogonal series expansions", IEEE Trans on Energy Conversion, Vol. 16, no. 1, March 2001, pp.92-98.
7. Melgoza, J.J.R., Heydt G.T., Keyhani A., Agrawal B.L., Selin D., "Synchronous machine parameter estimation using Hartley series", IEEE Trans on Energy Conversion, Vol. 16, no. 1, March 2001, pp.49-54.6
8. Karrari M., Menhaj M.B., "Application of different neural networks for identification of power systems", UKACC Conference on Control 2000, University of Cambridge, U.K. 4-7 September 2000.
9. Shamsollahi, P., Malik, O.P.,"On-line identification of synchronous generator using neural networks", Proceedings of the 1996 Canadian Conference on Electrical and Computer Engineering, CCECE'96, Part 2, 1996, p.595-598.
10. Ljung, L, "System Identification, theory for the user", Prentice Hall PTR, c1999.
11. Goodwin G.C. "Dynamic system identification: experiment design and data analysis", New York, Academic Press, 1977.
12. Billings, S.A., "Identification of nonlinear systemsa survey", IEE Proceedings, Part D., Vol. 127, 1980, pp. 272-285.
13. Nelles, O., "Nonlinear system identification: from classical approaches to neural networks and fuzzy models", Berlin; New York Springer, c2001.
14. Chen, S., Billings, S., Grant P.M., "Nonlinear identification using neural networks", International Journal of Control, no. 51, 1990, pp.1191-1214.
15. S. Chen, S. Billings, and P. M. Grant, "Nonlinear identification using neural networks," Int. J. Contr., no. 51, pp. 1191-1214, 1990.
16. M. Verhaegen, "identification of the deterministic term of MIMO state space models given in innovation form from input-output data", Automatica, Vol. 30 (1994), No. 1, pp. 61-74.
17. M. Verhaegen, "Identification of the temperature-product quality relationship in a multi-component distillation column", Chemical Engineering Communications, Vol. 163 (1998), pp. 111-132.
18. B. Haverkamp: State Space Identification: Theory and Practice, PhD thesis, Faculty of Information Technology and Systems, Delft University of Technology, Delft, The Netherlands, 2001.
19. V. Sima, "Fast numerical algorithm for Wiener systems identification", International Working Conference on Analysis and Optimization of Differential systems, pp. 375-386, September 10-14, Romania, 2003.