Méthodes de localisation et de détection de défauts d’arcs électriques séries dans un réseau électrique alternatif basse tension

Abstract : The dangerousness of electrical defects and in particular serial arcing ones in low-voltage installations is well known and represents a topical research issue. The detection and localization of these defects is therefore the subject of this thesis. It should also be noted that, at present time, no circuit-breaker for arc fault detection is equipped with the arc location function on the power line. Several methods for locating series arc faults have been proposed in this work. For the first method, a model based on the impedance parameters of the experimental power line (length 49 meters) based on Kirchhoff's laws was developed. The second method uses line modeling to obtain different signature vectors used to train a neural network. The third wavelet transform method is based on the identification of high frequency waves that occur in the presence of a series arc fault. The other major contribution of this thesis is the development of an efficient algorithm for detecting the presence of an electrical arc fault by the line current analysis. The algorithm is designed to reliably detect series arcing faults in stationary and transient operating modes of household appliances and then in complex load masking and with disturbance device configurations. The algorithm is based on the analysis of the line current by a Kalman filter associated with a decision logic block. The technique used based on adaptive fuzzy logic thresholding logic, allows significant reduction in false triggering
Document type :
Theses
File URL :
http://docnum.univ-lorraine.fr/ulprive/DDOC_T_2018_0298_CALDERON_MENDOZA.pdf
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https://hal.univ-lorraine.fr/tel-02129975
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Submitted on : Wednesday, May 15, 2019 - 2:36:11 PM
Last modification on : Wednesday, September 4, 2019 - 2:06:04 PM

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  • HAL Id : tel-02129975, version 1

Citation

Edwin Calderon-Mendoza. Méthodes de localisation et de détection de défauts d’arcs électriques séries dans un réseau électrique alternatif basse tension. Energie électrique. Université de Lorraine, 2018. Français. ⟨NNT : 2018LORR0298⟩. ⟨tel-02129975⟩

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