Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100556
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dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorAbusalah, Aen_US
dc.creatorSaad, Oen_US
dc.creatorMahseredjian, Jen_US
dc.creatorKaraagac, Uen_US
dc.creatorGerin-Lajoie, Len_US
dc.creatorKocar, Ien_US
dc.date.accessioned2023-08-11T03:10:28Z-
dc.date.available2023-08-11T03:10:28Z-
dc.identifier.issn0378-7796en_US
dc.identifier.urihttp://hdl.handle.net/10397/100556-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2018 Elsevier B.V. All rights reserved.en_US
dc.rights© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Abusalah, A., Saad, O., Mahseredjian, J., Karaagac, U., Gerin-Lajoie, L., & Kocar, I. (2018). CPU based parallel computation of electromagnetic transients for large power grids. Electric Power Systems Research, 162, 57-63 is available at https://doi.org/10.1016/j.epsr.2018.04.017.en_US
dc.subjectElectromagnetic transienten_US
dc.subjectKLUen_US
dc.subjectModified-augmented-nodal-analysisen_US
dc.subjectSparse matrix solveren_US
dc.titleCPU based parallel computation of electromagnetic transients for large power gridsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage57en_US
dc.identifier.epage63en_US
dc.identifier.volume162en_US
dc.identifier.doi10.1016/j.epsr.2018.04.017en_US
dcterms.abstractThis paper presents the implementation of a parallel sparse matrix solver for improving the computational speed of an electromagnetic transients (EMTs) simulation software. The new method is established on the KLU sparse matrix solver which is suitable for circuit based simulation methods The solver is programmed using parallelization through automatic detection of sparse matrix submatrices separated by the natural decoupling available in transmission line/cable models. The proposed approach is demonstrated in an EMT-type software that uses a fully iterative solution method for all nonlinear models. Furthermore, it is demonstrated for realistic large scale grids.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationElectric power systems research, Sept. 2018, v. 162, p. 57-63en_US
dcterms.isPartOfElectric power systems researchen_US
dcterms.issued2018-09-
dc.identifier.scopus2-s2.0-85047093044-
dc.identifier.eissn1873-2046en_US
dc.description.validate202307 bckw-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberEE-0329-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6840048-
dc.description.oaCategoryGreen (AAM)en_US
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