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dc.rights.licenseopenen_US
dc.contributor.authorMARISCAL-CASTILLO, Fernando Ivan
dc.contributor.authorESPINOZA-TREJO, D.R.
dc.contributor.authorPECINA-SANCHEZ, Jose Angel
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorAGUILERA GONZALEZ, Adriana
ORCID: 0000-0003-1166-0648
IDREF: 253127653
dc.contributor.authorTAHERI, Shamsodin
dc.date.accessioned2023-04-05T09:14:58Z
dc.date.available2023-04-05T09:14:58Z
dc.date.issued2022
dc.date.conference2022-06-08
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172775
dc.description.abstractEnThis paper proposes a model-based fault diagnosis scheme for grid-connected photovoltaic systems with distributed maximum power point tracking (MPPT) strategy. Specifically, short-circuit switch faults in optimizers (boost dc/dc converters in series connection for MPPT purposes) are considered in this study. Depending on the application, SCFs can be more or less detrimental to the stability and integrity of systems. In systems with high penetration, disturbances in voltage or frequency can be generated that can, in the worst case, cause instabilities in the system. Hence, a fast fault detection strategy is mandatory. It is worth noting that, unlike other works reported to date, the control action of the optimizers presents singularities under this fault scenario, making the fault diagnosis task difficult. For this, a decoupled subsystem from i) dc/ac converter dynamics and ii) irradiance changes are obtained for fault and disturbance isolation purposes. Then, a dedicated high-gain observers bank is proposed for a residual generation. In this way, fault time detection is achieved in 8 switching periods. Finally, a numerical evaluation has been carried out to validate the ideas proposed in this paper. For this, three series-connected optimizers interconnected to a three-phase 220V 60 Hz grid through a neutral point clamped (NPC) inverter with a first-order L filter were considered in the simulation.
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subject.enHigh-Gain Observer
dc.subject.enFD algorithm
dc.subject.enOptimizers
dc.subject.enDistributed Generation
dc.subject.enPhotovoltaic Converters
dc.title.enHigh-Gain Observer-Based Fault Detection Scheme for Short-Circuit Switch Faults in Grid-Connected PV Systems by using Optimizers
dc.typeCommunication dans un congrèsen_US
dc.identifier.doi10.1016/j.ifacol.2022.07.218en_US
dc.subject.halPhysique [physics]en_US
bordeaux.page760-766en_US
bordeaux.volume55en_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.issue6en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.conference.titleSAFEPROCESS 2022en_US
bordeaux.countrycyen_US
bordeaux.title.proceedingIFAC-PapersOnLineen_US
bordeaux.conference.cityPAFOSen_US
bordeaux.peerReviewedouien_US
bordeaux.import.sourcehal
hal.identifierhal-03745973
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2022&rft.volume=55&rft.issue=6&rft.spage=760-766&rft.epage=760-766&rft.au=MARISCAL-CASTILLO,%20Fernando%20Ivan&ESPINOZA-TREJO,%20D.R.&PECINA-SANCHEZ,%20Jose%20Angel&AGUILERA%20GONZALEZ,%20Adriana&TAHERI,%20Shamsodin&rft.genre=unknown


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