A robust monitoring technique for fault detection in grid-connected PV plants

Fouzi Harrou, Bilal Taghezouit, Ying Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Monitoring 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.
Original languageEnglish (US)
Title of host publication2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages594-598
Number of pages5
ISBN (Print)9781538659823
DOIs
StatePublished - Dec 13 2018

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