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Conference object . 2021
Full-Text: https://publications.polymtl.ca/10213/1/2021_Masoom_Electromagnetic_transient_simulation_large_power.pdf
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https://doi.org/10.3384/ecp211...
Article . 2021 . Peer-reviewed
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https://dx.doi.org/10.3384/ecp...
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Electromagnetic Transient Simulation of Large Power Networks with Modelica

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Conference object 27 Sep 2021 Canada Publisher:Linköping University Electronic PressJournal:Linköping Electronic Conference Proceedings, volume 181 (issn: 1650-3686, Copyright policy )
Authors: Alireza Masoom; Jean Mahseredjian; Tarek Ould-Bachir; Adrien Guironnet;

doi: 10.3384/ecp21181277

Electromagnetic Transient Simulation of Large Power Networks with Modelica

Abstract

This paper presents the simulation of electromagnetic transients (EMTs) with Modelica. The advantages and disadvantages are discussed. Simulation performance and accuracy are analyzed through the IEEE 118-bus benchmark which includes detailed models with nonlinearities. The domain-specific simulator EMTP is used for validations and comparisons.

Country
Canada
Related Organizations
Keywords

Modelica, Largescale, Synchronous machines, Acausal modeling, EMT, Electromagnetic transients, Equation-based modeling, Nonlinearity, IEEE 118-bus grid

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green