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Caractérisation aveugle de la courbe de charge électrique : Détection, classification et estimation des usages dans les secteurs résidentiel et tertiaire

Abstract : Residential and tertiary appliances characterization in real conditions from the unique measurement available at the utility service entry (the active and/or reactive power) has been little studied. This thesis investigates new methods and approaches to an entirely non-intrusive characterization of electric appliances. Our aim is to extract several descriptors of the targeted end-uses, given one source mixture of an unknown number of non-stationary signals. This study emphasizes four areas: appliances detection, classification and estimation (consumed energy, magnitude) and the electric load decomposition problem. The proposed techniques are demonstrated with real data including an experimental house and two “real” houses. One our major contribution is a non-intrusive solution of a residential electric load segmentation and mapping the daily consumed energy into its major components (space-heating by convectors, water heater and refrigerators). Ameliorations of some algorithms and their evaluation on large real data are required in order to evaluate the robustness of the proposed methods. As future works, we detail a generic approach using a probabilistic model of the electric load events which addresses the problem of the electric load decomposition (sources separation) in the framework of Bayesian approaches.
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Submitted on : Friday, March 5, 2010 - 1:36:02 PM
Last modification on : Wednesday, November 17, 2021 - 12:31:17 PM
Long-term archiving on: : Friday, June 18, 2010 - 10:20:51 PM

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  • HAL Id : tel-00461671, version 1

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Mabrouka El Guedri. Caractérisation aveugle de la courbe de charge électrique : Détection, classification et estimation des usages dans les secteurs résidentiel et tertiaire. Traitement du signal et de l'image [eess.SP]. Université Paris Sud - Paris XI, 2009. Français. ⟨tel-00461671⟩

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