Show simple item record

dc.contributor.authorGaroudja, Elyes
dc.contributor.authorHarrou, Fouzi
dc.contributor.authorSun, Ying
dc.contributor.authorKara, Kamel
dc.contributor.authorChouder, Aissa
dc.contributor.authorSilvestre, Santiago
dc.date.accessioned2017-10-03T12:49:33Z
dc.date.available2017-10-03T12:49:33Z
dc.date.issued2017-07-10
dc.identifier.citationGaroudja E, Harrou F, Sun Y, Kara K, Chouder A, et al. (2017) A statistical-based approach for fault detection and diagnosis in a photovoltaic system. 2017 6th International Conference on Systems and Control (ICSC). Available: http://dx.doi.org/10.1109/ICoSC.2017.7958710.
dc.identifier.doi10.1109/ICoSC.2017.7958710
dc.identifier.urihttp://hdl.handle.net/10754/625672
dc.description.abstractThis paper reports a development of a statistical approach for fault detection and diagnosis in a PV system. Specifically, the overarching goal of this work is to early detect and identify faults on the DC side of a PV system (e.g., short-circuit faults; open-circuit faults; and partial shading faults). Towards this end, we apply exponentially-weighted moving average (EWMA) control chart on the residuals obtained from the one-diode model. Such a choice is motivated by the greater sensitivity of EWMA chart to incipient faults and its low-computational cost making it easy to implement in real time. Practical data from a 3.2 KWp photovoltaic plant located within an Algerian research center is used to validate the proposed approach. Results show clearly the efficiency of the developed method in monitoring PV system status.
dc.description.sponsorshipThis publication is based upon work supported by King Abdullah University of Science and Technology (KAUST), Office of Sponsored Research (OSR) under Award No: OSR-2015- CRG4-2582. The authors (Elyes Garoudja and Kamel Kara) thank the SET Laboratory, Department of Electronics, Faculty of Technology, University of Blida 1, Algeria, for continuous support during the study.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/7958710/
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectCircuit faults
dc.subjectComputational modeling
dc.subjectControl charts
dc.subjectFault detection
dc.subjectIntegrated circuit modeling
dc.subjectMathematical model
dc.subjectMonitoring
dc.titleA statistical-based approach for fault detection and diagnosis in a photovoltaic system
dc.typeConference Paper
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentStatistics Program
dc.identifier.journal2017 6th International Conference on Systems and Control (ICSC)
dc.conference.date2017-05-07 to 2017-05-09
dc.conference.name6th International Conference on Systems and Control, ICSC 2017
dc.conference.locationBatna, DZA
dc.eprint.versionPost-print
dc.contributor.institutionElectronic Department, Blida 1 University Blida, Algeria
dc.contributor.institutionElectrical Engineering Department University of m’sila Ichbilia Street, Algeria
dc.contributor.institutionElectronic Engineering Departmen Univesitat Politécnica de Catalunya Barcelona, Spain
kaust.personHarrou, Fouzi
kaust.personSun, Ying
kaust.grant.numberOSR-2015-CRG4-2582
refterms.dateFOA2018-06-14T03:51:27Z
dc.date.published-online2017-07-10
dc.date.published-print2017-05


Files in this item

Thumbnail
Name:
A statistical-based approach for fault detection and diagnosis in a PV system.pdf
Size:
860.5Kb
Format:
PDF
Description:
Accepted Manuscript

This item appears in the following Collection(s)

Show simple item record