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dc.contributor.authorMonjo, Lluís
dc.contributor.authorSainz, Luis
dc.contributor.authorMesas, Juan José
dc.contributor.authorPedra, Joaquin
dc.date.accessioned2021-10-28T12:06:37Z
dc.date.available2021-10-28T12:06:37Z
dc.date.issued2021-07-09
dc.identifier.citationMonjo, L.; Sainz, L.; Mesas, J.J.; Pedra, J. State-Space Model of Quasi-Z-Source Inverter-PV Systems for Transient Dynamics Studies and Network Stability Assessment. Energies 2021, 14, 4150. https://doi.org/10.3390/en14144150ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/195275
dc.description.abstractPhotovoltaic (PV) power systems are increasingly being used as renewable power generation sources. Quasi-Z-source inverters (qZSI) are a recent, high-potential technology that can be used to integrate PV power systems into AC networks. Simultaneously, concerns regarding the stability of PV power systems are increasing. Converters reduce the damping of grid-connected converter systems, leading to instability. Several studies have analyzed the stability and dynamics of qZSI, although the characterization of qZSI-PV system dynamics in order to study transient interactions and stability has not yet been properly completed. This paper contributes a small-signal, state-space-averaged model of qZSI-PV systems in order to study these issues. The model is also applied to investigate the stability of PV power systems by analyzing the influence of system parameters. Moreover, solutions to mitigate the instabilities are proposed and the stability is verified using PSCAD time domain simulations.ca_CA
dc.format.extent15 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relation.isPartOfEnergies 2021, 14(14), 4150ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/ca_CA
dc.subjectPV systemsca_CA
dc.subjectquasi-Z-source inverterca_CA
dc.subjectstabilityca_CA
dc.titleState-Space Model of Quasi-Z-Source Inverter-PV Systems for Transient Dynamics Studies and Network Stability Assessmentca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.3390/en14144150
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameMinisterio de Ciencia, Innovación y Universidadesca_CA
oaire.awardNumberRTI2018-095720-B-C33ca_CA


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