Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9605
Title: Fault detection method for grid-connected photovoltaic plants
Authors: Chine, W. 
Mellit, Adel 
Massi Pavan, Alessandro 
Kalogirou, Soteris A. 
Keywords: Diagnostic
Fault detection
GCPV plant
Power loss
Issue Date: 1-Jun-2014
Publisher: Elsevier BV
Source: Renewable Energy, 2014, Volume 66, Pages 99-110
Abstract: In this work, an automatic fault detection method for grid-connected photovoltaic (GCPV) plants is presented. The proposed method generates a diagnostic signal which indicates possible faults occurring in the GCPV plant. In order to determine the location of the fault, the ratio between DC and AC power is monitored. The software tool developed identifies different types of faults like: fault in a photovoltaic module, fault in a photovoltaic string, fault in an inverter, and a general fault that may include partial shading, PV ageing, or MPPT error. In addition to the diagnostic signal, other essential information about the system can be displayed each 10min on the designed tool. The method has been validated using an experimental database of climatic and electrical parameters regarding a 20kWp GCPV plant installed on the rooftop of the municipality of Trieste, Italy. The obtained results indicate that the proposed method can detect and locate correctly different type of faults in both DC and AC sides of the GCPV plant. The developed software can help users to check possible faults on their systems in real time.
URI: http://ktisis.cut.ac.cy/handle/10488/9605
ISSN: 09601481
Rights: © 2013 Elsevier Ltd.
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