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dc.contributor.authorHarrou, Fouzi
dc.contributor.authorSun, Ying
dc.contributor.authorSaidi, Ahmed
dc.date.accessioned2018-01-21T07:23:26Z
dc.date.available2018-01-21T07:23:26Z
dc.date.issued2017-12-14
dc.identifier.citationHarrou F, Sun Y, Saidi A (2017) Online model-based fault detection for grid connected PV systems monitoring. 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B). Available: http://dx.doi.org/10.1109/ICEE-B.2017.8192117.
dc.identifier.doi10.1109/ICEE-B.2017.8192117
dc.identifier.urihttp://hdl.handle.net/10754/626840
dc.description.abstractThis paper presents an efficient fault detection approach to monitor the direct current (DC) side of photovoltaic (PV) systems. The key contribution of this work is combining both single diode model (SDM) flexibility and the cumulative sum (CUSUM) chart efficiency to detect incipient faults. In fact, unknown electrical parameters of SDM are firstly identified using an efficient heuristic algorithm, named Artificial Bee Colony algorithm. Then, based on the identified parameters, a simulation model is built and validated using a co-simulation between Matlab/Simulink and PSIM. Next, the peak power (Pmpp) residuals of the entire PV array are generated based on both real measured and simulated Pmpp values. Residuals are used as the input for the CUSUM scheme to detect potential faults. We validate the effectiveness of this approach using practical data from an actual 20 MWp grid-connected PV system located in the province of Adrar, Algeria.
dc.description.sponsorshipThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No: OSR-2015-CRG4-2582.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/8192117/
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.subjectMathematical model
dc.subjectMonitoring
dc.subjectPower measurement
dc.titleOnline model-based fault detection for grid connected PV systems monitoring
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 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B)
dc.eprint.versionPost-print
dc.contributor.institutionElectrical Engineering Department, Smart grid & renewable energy (SG&RE) Laboratory, TAHRI Mohammed University, Béchar, Algeria
kaust.personHarrou, Fouzi
kaust.personSun, Ying
kaust.grant.numberOSR-2015-CRG4-2582
refterms.dateFOA2018-06-14T02:50:36Z
dc.date.published-online2017-12-14
dc.date.published-print2017-10


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