Estimation de la fréquence fondamentale d'un réseau électrique dans le contexte Smart-Grid

Boualouana, Abdelkrim; Berrekia, Sid Ahmed

dc.contributor.author	Boualouana, Abdelkrim
dc.contributor.author	Berrekia, Sid Ahmed
dc.date.accessioned	2019-11-03T12:28:28Z
dc.date.available	2019-11-03T12:28:28Z
dc.date.issued	2015
dc.identifier.uri	http://di.univ-blida.dz:8080/xmlui/handle/123456789/1943
dc.description	4.621.1.280 ;82 p 30 cm	fr_FR
dc.description.abstract	This dissertation considers the field of automated monitoring and diagnostics equipment to deal with an electric power grid. The objective of this study is to examine the impact of signal processing techniques on the electrical signals provided from electric power grid. Three different techniques were developed and tested in this dissertation: Recursive Discrete Fourier Transform, Adaptive Notch Filter and Kalman Filter.	fr_FR
dc.language.iso	fr	fr_FR
dc.publisher	Univ Blida1	fr_FR
dc.subject	Discrète Récursive, le filtre adaptatif Notch et le Filtre de Kalman.	fr_FR
dc.title	Estimation de la fréquence fondamentale d'un réseau électrique dans le contexte Smart-Grid	fr_FR