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dc.contributor.authorHarrou, Fouzi
dc.contributor.authorTaghezouit, Bilal
dc.contributor.authorSun, Ying
dc.date.accessioned2018-12-19T12:19:43Z
dc.date.available2018-12-19T12:19:43Z
dc.date.issued2018-12-13
dc.identifier.citationHarrou F, Taghezouit B, Sun Y (2018) A robust monitoring technique for fault detection in grid-connected PV plants. 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA). Available: http://dx.doi.org/10.1109/icrera.2018.8566768.
dc.identifier.doi10.1109/icrera.2018.8566768
dc.identifier.urihttp://hdl.handle.net/10754/630306
dc.description.abstractMonitoring the operation condition of photovoltaic (PV) systems is crucial to improving their efficiency. In this paper, an effective method to supervise the DC part of PV plants under noisy environment is provided. In fact, noisy measurements make the supervision more challenging as the feature extraction of the fault is more difficult. The designed approach merges the desirable proprieties of the discrete wavelet transform and the exponentially weighted moving average scheme to appropriately detect faults in PV system. Specifically, this approach is employed to check the residuals generated by a simulation model based on a single-diode modeling for fault detection. We evaluated the efficiency of the proposed approach on a real PV system in Algeria. Results indicated that the proposed approach has good capacity in supervising the DC part of PV plants.
dc.description.sponsorshipThis publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: (OSR) under Award No: OSR-2015-CRG4-2582.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8566768
dc.rightsArchived with thanks to 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)
dc.titleA robust monitoring technique for fault detection in grid-connected PV plants
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentStatistics Program
dc.identifier.journal2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)
dc.eprint.versionPost-print
dc.contributor.institutionEcole Nationale Polytechnique Alger, Laboratoire de Dispositif de Communication et de Conversion Photovoltaique, Algiers, Algeria
dc.contributor.institutionCentre de Développement des Energies Renouvelables CDER, B.P. 62, Route de l’Observatoire, Bouzaréah
kaust.personHarrou, Fouzi
kaust.personSun, Ying
kaust.grant.numberOSR-2015-CRG4-2582
refterms.dateFOA2018-12-19T12:28:44Z
dc.date.published-online2018-12-13
dc.date.published-print2018-10


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