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Statistical fault detection in photovoltaic systems

Autor
Garoudja, E.; Harrou, F.; Sun, Y.; KARA, K.; Chouder, A.; Silvestre, S.
Tipus d'activitat
Article en revista
Revista
Solar energy
Data de publicació
2017-07-01
Volum
150
Pàgina inicial
485
Pàgina final
499
DOI
https://doi.org/10.1016/j.solener.2017.04.043 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/104780 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0038092X17303377 Obrir en finestra nova
Resum
Faults in photovoltaic (PV) systems, which can result in energy loss, system shutdown or even serious safety breaches, are often difficult to avoid. Fault detection in such systems is imperative to improve their reliability, productivity, safety and efficiency. Here, an innovative model-based fault-detection approach for early detection of shading of PV modules and faults on the direct current (DC) side of PV systems is proposed. This approach combines the flexibility, and simplicity of a one-di...
Citació
Garoudja, E., Harrou, F., Sun, Y., Kara, K., Chouder, A., Silvestre, S. Statistical fault detection in photovoltaic systems. "Solar energy", 1 Juliol 2017, vol. 150, p. 485-499.
Paraules clau
Fault detection, One-diode model, Photovoltaic systems, Statistical monitoring charts, Temporary shading
Grup de recerca
MNT - Grup de Recerca en Micro i Nanotecnologies

Participants

  • Garoudja, Elyes  (autor)
  • Harrou, Fouzi  (autor)
  • Sun, Ying  (autor)
  • KARA, KAMEL  (autor)
  • Chouder, Aissa  (autor)
  • Silvestre Berges, Santiago  (autor)