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Efficient fault detection and diagnosis procedure for photovoltaic systems
dc.contributor.author | Garoudja, Elyes |
dc.contributor.author | KARA, KAMEL |
dc.contributor.author | Chouder, Aissa |
dc.contributor.author | Silvestre Bergés, Santiago |
dc.contributor.author | Kichou, Sofiane |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.date.accessioned | 2017-01-13T09:46:08Z |
dc.date.issued | 2016 |
dc.identifier.citation | Garoudja , E., KARA, K., Chouder, A., Silvestre, S., Kichou, S. Efficient fault detection and diagnosis procedure for photovoltaic systems. A: International Conference on Modelling, Identification and Control. "ICMIC-2016: Proceedings of 2016 8th International Conference on Modelling, Identification and Control". Algiers: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 1-6. |
dc.identifier.isbn | 978-1-5090-1594-8 |
dc.identifier.uri | http://hdl.handle.net/2117/99200 |
dc.description.abstract | This paper proposes a simple method to detect and diagnose short circuits and open circuits faults in photovoltaic (PV) systems based on the evaluation of three coefficients. The proposed method consists fundamentally on two steps: an offline step based on a simulated model and an online step in which a comparison of the real measured coefficients against those obtained in the offline step is performed. The simulated model of the PV array has been validated using a real experimental data of a daily profile from a 3 kWp grid connected system installed at Algiers. The effectiveness of the proposed method has been evaluated based on PSIM™/Matlab™ Co-simulation approach of four operating cases: healthy operating case, one short circuit module in a string operating case, five short circuits modules in a string operating case, and finally a completely disconnected string operating case. Simulation results have demonstrated the ability of the proposed method to detect and diagnose short circuits and open circuits faulty operation under any meteorological conditions. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Energies::Energia solar fotovoltaica |
dc.subject.lcsh | Photovoltaic power generation |
dc.subject.other | Fault detection |
dc.subject.other | Integrated circuit modeling |
dc.subject.other | Electrical fault detection |
dc.subject.other | Mathematical model |
dc.subject.other | Temperature measurement |
dc.subject.other | Simulation |
dc.title | Efficient fault detection and diagnosis procedure for photovoltaic systems |
dc.type | Conference report |
dc.subject.lemac | Energia solar fotovoltaica |
dc.contributor.group | Universitat Politècnica de Catalunya. MNT - Grup de Recerca en Micro i Nanotecnologies |
dc.identifier.doi | 10.1109/ICMIC.2016.7804233 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/7804233/ |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 19380325 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Garoudja, E.; KARA, K.; Chouder, A.; Silvestre, S.; Kichou, S. |
local.citation.contributor | International Conference on Modelling, Identification and Control |
local.citation.pubplace | Algiers |
local.citation.publicationName | ICMIC-2016: Proceedings of 2016 8th International Conference on Modelling, Identification and Control |
local.citation.startingPage | 1 |
local.citation.endingPage | 6 |