Conference article

State Estimation of a Thermal Model of Air-cooled Synchronous Generator

Madhusudhan Pandey
University of South-Eastern Norway, Porsgrunn, Norway

Thomas Øyvang
University of South-Eastern Norway, Porsgrunn, Norway

Bernt Lie
University of South-Eastern Norway, Porsgrunn, Norway

Download articlehttps://doi.org/10.3384/ecp20170190

Published in: Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden

Linköping Electronic Conference Proceedings 170:29, s. 190-197

Show more +

Published: 2020-01-24

ISBN: 978-91-7929-897-5

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

In this paper, we extend a previous study on a totally enclosed thermal model of a synchronous generator, with temperature state estimation using experimental data. The extension includes a new formulation of the system model, with four different model variations with and without temperature dependence in the metal, air, and water heat capacities and the copper resistances, where temperature variation in water and/or air requires a non-standard heat exchanger model. In the former study, the Unscented Kalman Filter (UKF) was used for state estimation. Here, we include both the UKF as well as the Ensemble Kalman Filter (EnKF) in the comparison. UKF and EnKF are compared based on estimation accuracy and computational speed. Results show that EnKF exhibits lower RMSE for the innovation process and thus is more accurate than the UKF even with a “minimum” of 50 particles, but the UKF with 6 sigma points (3 states) is faster. It is too early to conclude which of four models is more accurate, as they need to be tuned individually wrt. parameter fitting.

Keywords

air-cooled synchronous generator, dynamic model, state estimation, Unscented Kalman ?lter, Ensemble Kalman filter

References

Ole Magnus Brastein, Bernt Lie, Roshan Sharma, and Nils-Olav Skeie. Parameter estimation for externally simulated thermal network models. Energy and Buildings, 191:200–210, 2019. doi:10.1016/j.enbuild.2019.03.018.

ENTSO-E. Commission regulation (eu) 2016/631 of 14 April 2016 establishing a network code on requirements for grid connection of generators. Technical report, European Net-work of Transmission System Operators for Electricity, ENTSO-E Avenue de Cortenbergh 100 1000 Brussels Belgium, 2016.

Philip A. Hargreaves, B.C. Mecrow, and Ross Hall. Calculation of Iron Loss in Electrical Generators Using Finite-Element Analysis. Industry Applications, IEEE Transactions on, 48(5):1368–1373, May 2011. doi:10.1109/IEMDC.2011.5994805.

Bernt Lie. Solution, Project, FM1015 Modelling of Dynamic Systems. University of South-Eastern Norway, November 2018.

Bonnie J McBride, Michael J Zehe, and Sanford Gordon. Nasa glenn coef?cients for calculating thermodynamic properties of individual species. Technical Report NASA/TP–2002-21155, NASA, NASA Center for Aerospace Information 7121 Standard Drive Hanover, MD 21076, 2002. URL http://gltrs.grc.nasa.gov/GLTRS.

Thomas Øyvang. Enhanced power capability of generator unites for increased operational security. PhD thesis, University of South-Eastern Norway, Faculty of Technology, Natural Sciences and Maritime Sciences University of South-Eastern Norway N-2018 Porsgrunn Norway, December 2018. ISBN: 978-82-7206-503-3 (print) ISBN: 978-82-7206-504-0 (online).

Dan Simon. Optimal State Estimation: Kalman, H In?nity, and Nonlinear Approaches. Wiley-Interscience, Hoboken, New Jersey, 2006.

Statnett. Fiks funksjonskrav i kraftsystemet [functional requirements in the power system]. Technical report, Statnett, 2012.

Michael J. Zehe, Sanford Gordon, and Bonnie J. McBride. CAP: A Computer Code for Generating Tabular Thermodynamic Functions from NASA Lewis Coef?cients. Technical Report NASA/TP–2001-210959/REV1, NASA, NASA Center for Aerospace Information 7121 Standard Drive Hanover, MD 21076, 2002. URL http://gltrs.grc.nasa.gov/GLTRS.

Citations in Crossref