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dc.contributor.authorAnzola, Jon
dc.contributor.authorAizpuru, Iosu
dc.contributor.authorArruti Romero, Asier
dc.date.accessioned2025-03-31T07:26:11Z
dc.date.available2025-03-31T07:26:11Z
dc.date.issued2020
dc.identifier.isbn978-9-0758-1536-8en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=160130en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6930
dc.description.abstractBy the time goes by, the energetic efficiency gains more and more importance inside the strategic plans of companies that are focused on energy storage and conversion. For this reason, these same companies seek the necessity of developing algorithms capable of modelling and simulating the behaviour of power converters. Indeed, by modelling, it is possible to foresee converters' response to different input signals and comprehend better their behaviour without building a prototype. However, the process of obtaining the mathematical representation of a converter is high time consuming and, in case several topologies need to be compared, it can result in a laborious procedure. For this reason, this project has focused on the idea of developing a tool that could automatize the modelling process of a given converter. The presented algorithm is based on GSSAM and, in order to see its flexibility and precision, the results are compared to a switched model, validating the algorithm.en
dc.language.isoengen
dc.publisherIEEEen
dc.subjectMathematical modelen
dc.subjectswitchesen
dc.subjectHarmonic analysisen
dc.subjectAutomationen
dc.subjectMatrix convertersen
dc.titleDevelopment of an Algorithm for the Automation of the Modelling Process of Power Convertersen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceEuropean Conference on Power Electronics and Applications (EPE'20 ECCE Europe)en
local.contributor.groupAlmacenamiento de energíaes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.23919/EPE20ECCEEurope43536.2020.9215828en
local.source.details22. Lyon, 7-11 septiembre 2020en
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen


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Registro sencillo