**Page description appears here**

“Estimation of Synchronous Machine Parameters”

Authors: Oddvar Hallingstad,
Affiliation: Norwegian Defence Research Establishment (FFI)
Reference: 1980, Vol 1, No 1, pp. 1-15.

     Valid XHTML 1.0 Strict

Keywords: Maximum likelihood estimation, identifiability, short circuit measurement, transient stability model, parameter estimation

Abstract: The present paper gives a short description of an interactive estimation program based on the maximum likelihood (ML) method. The program may also perform identifiability analysis by calculating sensitivity functions and the Hessian matrix. For the short circuit test the ML method is able to estimate the q-axis subtransient reactance xq, which is not possible by means of the conventional graphical method (another set of measurements has to be used). By means of the synchronization and close test, the ML program can estimate the inertial constant (M), the d-axis transient open circuit time constant (Tdo), the d-axis subtransient o.c.t.c (Tdo) and the q-axis subtransient o.c.t.c (Tqo). In particular, Tqo is difficult to estimate by any of the methods at present in use. Parameter identifiability is thoroughly examined both analytically and by numerical methods. Measurements from a small laboratory machine are used.

PDF PDF (1968 Kb)        DOI: 10.4173/mic.1980.1.1

[1] Anderson, O.W. (1976). Generalized Theory of Rotating Electrical Machines, Norwegian Institute of Technology, Division of Electrical Machinery, Trondheim, Norway.
[2] Gupta, N., Mehra, R. (1974). Computational Aspects of Maximum Likelihood Estimation and Reduction in Sensitivity Function Calculations, IEEE Transactions on Automatic Control, Vol 19, 774-783 doi:10.1109/TAC.1974.1100714
[3] Hallingstad, O. (1976). Maximum Likelihood Estimation of the Parameters in Non-Linear State Space Models, SINTEF Report STF48 A76061, The Norwegian Institute of Technology, Division of Engineering Cybernetics, Trondheim, Norway.in Norwegian.
[4] Hallingstad, O. (1978). Transient Stability Models: Parameter Estimation and Model Reduction, Report 78-25-W, The Norwegian Institute of Technology, Division of Engineering Cybernetics, Trondheim, Norway.
[5] Powell, M.J.D. (1964). An Efficient Method for Finding the Minimum of a Function of Several Variables without Calculating Derivatives, Comput. J. 7, 155-162 doi:10.1093/comjnl/7.2.155
[6] Schweppe, F.C (1973). Uncertain Dynamic Systems, Prentice-Hall.

  title={{Estimation of Synchronous Machine Parameters}},
  author={Hallingstad, Oddvar},
  journal={Modeling, Identification and Control},
  publisher={Norwegian Society of Automatic Control}


May 2016: MIC reaches 2000 DOI Forward Links. The first 1000 took 34 years, the next 1000 took 2.5 years.

July 2015: MIC's new impact factor is now 0.778. The number of papers published in 2014 was 21 compared to 15 in 2013, which partially explains the small decrease in impact factor.

Aug 2014: For the 3rd year in a row MIC's impact factor increases. It is now 0.826.

Dec 2013: New database-driven web-design enabling extended statistics. Article number 500 is published and MIC reaches 1000 DOI Forward Links.

Jan 2012: Follow MIC on your smartphone by using the RSS feed.


July 2011: MIC passes 1000 ISI Web of Science citations.

Mar 2010: MIC is now indexed by DOAJ and has received the Sparc Seal seal for open access journals.

Dec 2009: A MIC group is created at LinkedIn and Twitter.

Oct 2009: MIC is now fully updated in ISI Web of Knowledge.