A robust monitoring technique for fault detection in grid-connected PV plants
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
KAUST Grant NumberOSR-2015-CRG4-2582
Online Publication Date2018-12-13
Print Publication Date2018-10
Permanent link to this recordhttp://hdl.handle.net/10754/630306
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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.
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.
SponsorsThis 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.