Fault diagnosis strategies applied to photovoltaic systems

Corinne Alonso (1, 2) , Luis Garcia Gutierrez (3, 2, 1) , Michaël Bressan (3) , José Fernando Jimenez (3)

1 UT3 - Université Toulouse III - Paul Sabatier
2 LAAS-ISGE - Équipe Intégration de Systèmes de Gestion de l'Énergie
3 Uniandes - Dept. Electrical and Electronic Engineering (Universidad de los Andes)

This work treats about the development of fault diagnosis strategies applied Photovoltaic (PV) systems. The proposed methodology uses the comparison between the model and measurement divided in two parts: First part, a model of high detail is designed pf the PV system to allow to detect faults. A model to emulate electrical characteristics of PV system under faults conditions is developed. The second part of the work treats about the method of fault detection for power converters connected into the grid. Real-time emulation allows validating results of fault-detection algorithms also in Real Time.

Mots clés: Photovoltaic Systems; real-time controls; high granularity model; Fault Detection and Diagnosis

Domaines: Energie électrique

Corinne Alonso, Luis Garcia Gutierrez, Michaël Bressan, José Fernando Jimenez. Fault diagnosis strategies applied to photovoltaic systems. Journées Nationales du Réseau Doctoral en Micro-nanoélectronique (JNRDM), Jun 2019, Montpellier, France. ⟨hal-02053461⟩