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Identifying Low-Order Frequency-Dependent Transmission Line Model Parameters
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0002-1558-2539
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0002-3312-9244
Rensselaer Polytech Inst, Elect Comp & Syst Dept, Troy, NY USA.ORCID iD: 0000-0002-4125-1055
2017 (English)In: 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2017Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes the modeling and parameter identification of a frequency dependent transmission line model from time-domain data. To achieve this, a single-phase transmission line model was implemented in OpenModelica where the frequency dependent behavior of the line was realized by a series of rational functions using the Modelica language. Next, the developed line model was exported as a Functional Mock-up Unit (FMU). The RaPId toolbox was then used for automated parameter optimization of the model within the FMU that was interfaced to RaPId via the FMI Toolbox for MATLAB. Given a reasonable starting guess of the set of parameters, the toolbox improved the model's response significantly, resulting in a good approximation even though low-order representations were used for the identification process. It was found that even though the process was straightforward, it can be enhanced by exploiting the physical/numerical properties of this specific problem.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017.
Series
IEEE PES Innovative Smart Grid Technologies Conference Europe, ISSN 2165-4816
Keywords [en]
EMTP, Parameter estimation, Power system modeling, System identification, Transmission lines
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:kth:diva-226266DOI: 10.1109/ISGTEurope.2017.8260138ISI: 000428016500047Scopus ID: 2-s2.0-85046262006ISBN: 978-1-5386-1953-7 OAI: oai:DiVA.org:kth-226266DiVA, id: diva2:1200795
Conference
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017, Torino, Italy, 26 September 2017 through 29 September 2017
Note

QC 20180424

Available from: 2018-04-24 Created: 2018-04-24 Last updated: 2018-06-04Bibliographically approved

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Johannesson, NiclasBogodorova, TetianaVanfretti, Luigi

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