DocumentCode :
709522
Title :
Fault diagnosis of building integrated PV generator: A metaheuristic technique
Author :
Hachana, Oussama ; Hemsas, Kamel Eddine ; Tina, Giuseppe Marco
Author_Institution :
Elec. Eng. Dept., Univ. Ferhat Abbas, Setif, Algeria
fYear :
2015
fDate :
24-26 March 2015
Firstpage :
1
Lastpage :
6
Abstract :
BIPV systems are usually small-medium PV systems spread out over the territory, and whose technical and installation characteristics can be very different. This makes difficult a cost-effective procedure for monitoring and diagnostics. As a consequence, many problems affecting BIPV systems go undetected. In order to carry out an effective automatic fault detection procedures, we need a software tool that is reliable, cost effective and that can be applied on many PV systems. To reduce the probability of happening of such events, a fault diagnosis is an important tool at least to detect and prevent the critical defects. The well-known equivalent circuit one diode model will be used to develop a PV emulator by means of a new metaheuristical technique called ABC-DE either at normal or abnormal operating conditions to remove the damaging cells scenario at the investigation moment under artificial defects creation. After the emulator experimental validation a fault diagnosis technique is introduced to detect and to identify certain defects based on the power losses and the parameters extracted from ABC-DE technique selected on a reference table.
Keywords :
building integrated photovoltaics; diodes; equivalent circuits; fault diagnosis; power generation faults; power generation reliability; ABC-DE metaheuristical technique; BIPV system fault diagnosis probability; PV emulator; automatic fault detection procedure; building integrated PV generator reliability; diode model; equivalent circuit; Buildings; Current measurement; Fault diagnosis; Integrated circuit modeling; Semiconductor diodes; Temperature measurement; Temperature sensors; BIPV; Fault diagnosis; measurements; metaheuristic model; shading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Renewable Energy Congress (IREC), 2015 6th International
Conference_Location :
Sousse
Type :
conf
DOI :
10.1109/IREC.2015.7110911
Filename :
7110911
Link To Document :
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