Fault identification in HVDC grids using a transient parametric model - Hub Intelligence Artificielle de CentraleSupélec
Article Dans Une Revue IFAC-PapersOnLine Année : 2020

Fault identification in HVDC grids using a transient parametric model

Paul Verrax
  • Fonction : Auteur
  • PersonId : 1415529
  • IdHAL : paul-verrax
Michel Kieffer
Bertrand Raison

Résumé

This paper presents a novel single-ended fault identification algorithm for meshed High Voltage Direct Current grids. This algorithm can be used in the context of fully-selective fault-clearing strategies. Once a fault is suspected, using a parametric model describing the voltage and current evolution just after the fault occurrence, a maximum-likelihood estimate of the fault distance and impedance is evaluated. The presence of the fault is then confirmed depending on the size of the confidence region of the obtained estimate. The approach is evaluated on a simulated three-node meshed grid. The current and voltage need to be observed during less than 0.2 ms to get an accurate estimate of the fault characteristics and to identify consistently the faulty line.
Fichier principal
Vignette du fichier
IFAC_Verrax_20.pdf (774.54 Ko) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04490220 , version 1 (16-09-2024)

Identifiants

Citer

Paul Verrax, Alberto Bertinato, Michel Kieffer, Bertrand Raison. Fault identification in HVDC grids using a transient parametric model. IFAC-PapersOnLine, 2020, 53 (2), pp.13700-13706. ⟨10.1016/j.ifacol.2020.12.873⟩. ⟨hal-04490220⟩
10 Consultations
0 Téléchargements

Altmetric

Partager

More