DSpace
 

Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Communications Internationales >

Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/7514

Titre: An investigation of different PMU phasor estimation techniques based on DFT using MATLAB
Auteur(s): Mahboubi, Meriem
Bentarzi, Hamid
Ouadi, Abderrahmane
Mots-clés: Fourier Transform (DFT)
asor measurement unit (PMU)
Phasor estimation algorithms
Recursive DFT
Non-recursive DFT
Smart DFT
Date de publication: 2020
Editeur: IEEE
Collection/Numéro: 2020 International Conference on Electrical Engineering (ICEE) September 25-27, 2020, Istanbul, Turkey;pp. 1-6
Résumé: Phasor Measurement Unit (PMU) is the essential component in the modern power grid which plays a significant role in monitoring, control and protection of the power system networks in real time. PMUs are able to provide time stamped synchronized measurements of voltage and current phasors using Global Positioning System (GPS) satellites, in microseconds, to maintain the power system network free of faults and hence healthy. Different phasor estimation techniques such as Kalman filter and Discrete Fourier transform (DFT) may be used by PMUs to estimate phasors. In this research work, the implementation of non-recursive, recursive and smart DFT techniques have been investigated for modeling the PMU using MATLAB. Then, mathematical differences among these algorithms are briefly highlighted as well as advantages and drawbacks of each
URI/URL: DOI: 10.1109/ICEE49691.2020.9249818
https://ieeexplore.ieee.org/document/9249818
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/7514
ISBN: 978-172818292-6
Collection(s) :Communications Internationales

Fichier(s) constituant ce document :

Fichier Description TailleFormat
MAHBOUBI Meriem.pdf521,61 kBAdobe PDFVoir/Ouvrir
View Statistics

Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.

 

Valid XHTML 1.0! Ce site utilise l'application DSpace, Version 1.4.1 - Commentaires