Étude, modélisation et conception d'un système de détection de défauts d'arcs électriques pour l'habitat

Abstract : The electrical arc faults are the cause of electrical home fire. Detecting them is an improvement of domestic electrical safety. The thesis contribution focuses on the problem of the electrical arc fault identification and detection in the domestic low voltage network. In this thesis, the first research objective is the modeling of a domestic electrical network. The aim of the modeling is to recreate graphically the loads and the topology of the real domestic electrical network associated with a series electrical arc fault. The modeling is made on the AC voltage source, domestic loads, arc fault model and a block of current and voltage analysis to control a circuit breaker. The second research objective is the development of a robust method for detecting arcing fault. Four detecting methods were developed as part of this thesis; they are based on the current analysis of frequency and time characteristics. All methods generate information whose amplitude tends to increase in the presence of an electric arc. However, the non-deterministic and random feature of the signals produced by the electrical arc fault as well as the large number and variability of loads and the disturbances which they introduce make the arc detection very difficult. All the studies consistently are composed of a comparison between the normal operation and arc fault signals. The result has resulted in a combined approach of some methodologies and a simple decision model based on a threshold. A prototype which contains a part of the algorithm was shown the feasibility of a circuit in real time
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Jinmi Gregory Lezama Calvo. Étude, modélisation et conception d'un système de détection de défauts d'arcs électriques pour l'habitat. Autre. Université de Lorraine, 2014. Français. ⟨NNT : 2014LORR0211⟩. ⟨tel-01751191⟩

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