Classification of three-phase power disturbances based on model order selection in smart grid applications - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Classification of three-phase power disturbances based on model order selection in smart grid applications

Résumé

This paper deals with a new classification techniques for power quality analysis. Specifically, the proposed technique aims at discriminating between four classes, where each class depends on the number of non-zero symmetrical components. By reformulating the classification problem as a pure model order selection one, we propose a classifier based on Information Theoretical Criteria. It yields the highest statistical performances. The performances of this proposed classifier are evaluated using Monte Carlo simulations with synthetic three-phase signals. Simulation results illustrate the effectiveness of the proposed classifier for power quality disturbances classification.
Fichier principal
Vignette du fichier
IECON2016_Oubrahim.pdf (225.72 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01449091 , version 1 (30-01-2017)

Identifiants

Citer

Zakarya Oubrahim, Vincent V. Choqueuse, Yassine Amirat, Mohamed Benbouzid. Classification of three-phase power disturbances based on model order selection in smart grid applications. IECON, Oct 2016, Florence, Italy. pp.5143 - 5148, ⟨10.1109/IECON.2016.7793475⟩. ⟨hal-01449091⟩
108 Consultations
236 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More