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Power System Model Identification Exploiting the Modelica Language and FMI Technologies
KTH, School of Electrical Engineering (EES), Electric Power Systems. (Smart Transmission Systems Lab)ORCID iD: 0000-0002-4125-1055
KTH, School of Electrical Engineering (EES), Electric Power Systems. (Smart Transmission Systems Lab)ORCID iD: 0000-0002-3312-9244
KTH, School of Electrical Engineering (EES), Electric Power Systems. (Smart Transmission Systems Lab)ORCID iD: 0000-0003-2353-1683
2014 (English)In: 2014 IEEE International Conference on Intelligent Energy and Power Systems, IEPS 2014 - Conference Proceedings, IEEE Computer Society, 2014, 127-132 p.Conference paper, Published paper (Refereed)
Abstract [en]

This article provides an overview of the work performed at SmarTS Lab on power system modeling and system identification within the FP7 iTesla project. The work was performed using Modelica as the modeling language for phasor time domain simulation and FMI (Flexible Mock-up Interface) Technologies for coupling Modelica models with simulation and optimization tools. The article focuses on use case examples of these Modelica models in an FMI driven environment to perform parameter identification.

Place, publisher, year, edition, pages
IEEE Computer Society, 2014. 127-132 p.
Keyword [en]
Modelica, FMI, model identification, parameter estimation, system identification
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-158303DOI: 10.1109/IEPS.2014.6874164ISI: 000345748200025Scopus ID: 2-s2.0-84906557500ISBN: 978-1-4799-2266-6 (print)OAI: oai:DiVA.org:kth-158303DiVA: diva2:776293
Conference
2014 IEEE International Conference on Intelligent Energy and Power Systems, IEPS 2014, Kyiv, Ukraine, 2 June 2014 through 6 June 2014
Note

QC 20150107

Available from: 2015-01-07 Created: 2015-01-07 Last updated: 2016-04-13Bibliographically approved

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Vanfretti, LuigiBogodorova, TetianaBaudette, Maxime

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