Article | Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017 | Periodic Steady State Identification for use in Modelica based AC electrical system simulation Linköping University Electronic Press Conference Proceedings
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Title:
Periodic Steady State Identification for use in Modelica based AC electrical system simulation
Author:
Martin Raphael Kuhn: German Aerospace Center (DLR e.V.), department of system dynamics and control, Germany
DOI:
10.3384/ecp17132493
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017
Issue:
132
Article no.:
056
Pages:
493-505
No. of pages:
13
Publication type:
Abstract and Fulltext
Published:
2017-07-04
ISBN:
978-91-7685-575-1
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Analysis of dynamic systems is often carried out at steady state condition. For cyclic systems like rotating machinery, it is not possible to detect this condition by simply monitoring the change rate of their variables, due to their periodicity. This paper focuses on methods for stationary periodic steady state identification of AC electrical systems. An overview of relevant methods is given and mappings of periodic variables to equivalent stationary variables are discussed. Two new periodic steady state monitors based on Short Time Fourier Transformation are proposed. The study was motivated by the need to identify the steady state condition of an aircraft electrical network for power quality checks. An implementation with Modelica tools is demonstrated.

Keywords: periodic systems, steady state identification, wavelet, FFT

Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Martin Raphael Kuhn
Title:
Periodic Steady State Identification for use in Modelica based AC electrical system simulation
DOI:
http://dx.doi.org/10.3384/ecp17132493
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Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017

Author:
Martin Raphael Kuhn
Title:
Periodic Steady State Identification for use in Modelica based AC electrical system simulation
DOI:
https://doi.org10.3384/ecp17132493
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