Voltage Sags Estimation in Three-Phase Systems using Unconditional Maximum Likelihood Estimation

Vincent V. Choqueuse (1) , A Belouchrani (2) , Guillaume Bouleux (3) , Mohamed Benbouzid (1)

1 LBMS - Laboratoire brestois de mécanique et des systèmes
2 ENP - École nationale polytechnique [Alger, Algérie]
3 DISP - Décision et Information pour les Systèmes de Production

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.

Mots clés: Voltage sags; Maximum Likelihood Estimation; Power systems; Smart Grid Monitoring

Domaines: Sciences de l'ingénieur [physics]; Statistiques [stat]

Vincent V. Choqueuse, A Belouchrani, Guillaume Bouleux, Mohamed Benbouzid. Voltage Sags Estimation in Three-Phase Systems using Unconditional Maximum Likelihood Estimation. 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), IEEE, Apr 2015, Brisbane, Australia. pp.2869 - 2873, ⟨10.1109/ICASSP.2015.7178495⟩. ⟨hal-01146218⟩