dc.contributor.author | Anzola, Jon | |
dc.contributor.author | Aizpuru, Iosu | |
dc.contributor.author | Arruti Romero, Asier | |
dc.date.accessioned | 2025-03-31T07:26:11Z | |
dc.date.available | 2025-03-31T07:26:11Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-9-0758-1536-8 | en |
dc.identifier.other | https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=160130 | en |
dc.identifier.uri | https://hdl.handle.net/20.500.11984/6930 | |
dc.description.abstract | By 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.iso | eng | en |
dc.publisher | IEEE | en |
dc.subject | Mathematical model | en |
dc.subject | switches | en |
dc.subject | Harmonic analysis | en |
dc.subject | Automation | en |
dc.subject | Matrix converters | en |
dc.title | Development of an Algorithm for the Automation of the Modelling Process of Power Converters | en |
dcterms.accessRights | http://purl.org/coar/access_right/c_abf2 | en |
dcterms.source | European Conference on Power Electronics and Applications (EPE'20 ECCE Europe) | en |
local.contributor.group | Almacenamiento de energía | es |
local.description.peerreviewed | true | en |
local.identifier.doi | https://doi.org/10.23919/EPE20ECCEEurope43536.2020.9215828 | en |
local.source.details | 22. Lyon, 7-11 septiembre 2020 | en |
oaire.format.mimetype | application/pdf | en |
oaire.file | $DSPACE\assetstore | en |
oaire.resourceType | http://purl.org/coar/resource_type/c_c94f | en |
oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa | en |