A new method for fault detection and identification of shadows based on electrical signature of defects

Michaël Bressan (1) , Youssef El Basri (2) , Corinne Alonso (2)

1 LAAS - Laboratoire d'analyse et d'architecture des systèmes
2 LAAS-ISGE - Équipe Intégration de Systèmes de Gestion de l'Énergie

Good diagnosis and monitoring of PV systems are key points to maximize PV production. The main objective of this work is focus on the development of a new tool able to detect faults of PV systems on real-time, with a particular care for the detection of shadows. The proposed detection method is based only on DC power measurements.

Mots clés: shadows nature identification 1 Introduction; impact of shadows; fault detection; DC power analysis; Monitoring system

Domaines: Electronique

Michaël Bressan, Youssef El Basri, Corinne Alonso. A new method for fault detection and identification of shadows based on electrical signature of defects. EPE'15 ECCE Europe, Sep 2015, Genève, Switzerland. 8p., ⟨10.1109/EPE.2015.7309177⟩. ⟨hal-01208396⟩