A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks

@inproceedings{Chine2016ANF,
  title={A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks},
  author={Wen-Huan Chine and Adel Mellit and Vanni Lughi and Ariel Malek and Giorgio Sulligoi and Alessandro Massi Pavan},
  year={2016}
}
This work proposes a novel fault diagnostic technique for photovoltaic systems based on Artificial Neural Networks (ANN). For a given set of working conditions solar irradiance and photovoltaic (PV) module's temperature a number of attributes such as current, voltage, and number of peaks in the current evoltage (IeV) characteristics of the PV strings are calculated using a simulation model. The simulated attributes are then compared with the ones obtained from the field measurements, leading to… CONTINUE READING
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