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dc.contributor.authorLivera, Andreasen
dc.contributor.authorTheristis, Mariosen
dc.contributor.authorMakrides, Georgeen
dc.contributor.authorSutterlueti, Juergenen
dc.contributor.authorGeorghiou, Georgeen
dc.coverage.spatialBrussels, Belgiumen
dc.creatorLivera, Andreasen
dc.creatorTheristis, Mariosen
dc.creatorMakrides, Georgeen
dc.creatorSutterlueti, Juergenen
dc.creatorGeorghiou, Georgeen
dc.description.abstractReal-time identification of failures in photovoltaic (PV) systems is crucial for achieving reactive maintenance schemes that, in turn, will increase the system reliability and guarantee the lifetime output. Following this line, failure detection routines (FDRs) that operate on acquired data-sets of grid-connected PV systems were developed to diagnose the occurrence of failures. The developed FDRs comprise of a failure detection and a classification stage. The detection stage was based on the comparison between the measured and predicted DC power production against set threshold levels (TL). The classification stage was based on data-driven algorithms, which were used to post-process the detected failure patterns through the application of the developed decision trees (DT), k-nearest neighbours (k-NN), support vector machine (SVM) and fuzzy inference systems (FIS). The experimental results showed that the FDRs were capable of detecting all the different types of failures (open-and short-circuited PV module, inverter shutdown, shorted bypass diode and partial shading) that were introduced to the test-bench PV system. Finally, amongst the investigated models, the k-NN model achieved the highest average true negative rate of 91%, when classifying each type of failure used for benchmarking.en
dc.source35th European PV Solar Energy Conference, EUPVSEC 2018, 24-28 Septemberen
dc.titleAdvanced Diagnostic Approach of Failures for Grid-Connected Photovoltaic (PV) Systemsen
dc.identifier.doi10.4229/35thEUPVSEC20182018-6BO.6.5Πολυτεχνική Σχολή / Faculty of EngineeringΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeConference Objecten
dc.contributor.orcidGeorghiou, George [0000-0002-5872-5851]
dc.contributor.orcidTheristis, Marios [0000-0002-7265-4922]
dc.contributor.orcidMakrides, George [0000-0002-0327-0386]
dc.contributor.orcidLivera, Andreas [0000-0002-3732-9171]

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