Voltage sags estimation in three-phase systems using Unconditional Maximum Likelihood estimation

Vincent Choqueuse; Adel Belouchrani; Guillaume Bouleux; Mohamed El Hachemi Benbouzid

ICASSP 2015accepted0 citations

Voltage sags estimation in three-phase systems using Unconditional Maximum Likelihood estimation

Vincent Choqueuse, Adel Belouchrani, Guillaume Bouleux, Mohamed El Hachemi Benbouzid

Abstract

This paper focuses on the estimation of voltage sags in three-phase power systems. Specifically, it proposes a new approach for estimating the amplitude and phase angle of the sag based on the Unconditional Maximum Likelihood technique. As opposed to other techniques, this approach is well suited for signals with amplitude and/or phase modulation such as those encountered in smart grid applications. Simulation and experimental results illustrate the effectiveness of the proposed approach.

BibTeX

@inproceedings{icassp2015_voltagesagsestim,
  title = {Voltage sags estimation in three-phase systems using Unconditional Maximum Likelihood estimation},
  author = {Vincent Choqueuse and Adel Belouchrani and Guillaume Bouleux and Mohamed El Hachemi Benbouzid},
  booktitle = {ICASSP 2015},
  year = {2015}
}