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Étude et détection des défauts d’arcs électriques dans un réseau électrique aéronautique 270V HVDC

Abstract : Tomorrow’s aircraft will have an all-electric topology. This mean, manufacturers boost power and voltage of the embedded energy network. Nevertheless, the lack of an electric arc is a risk that is often the cause of the crash or operated occurrences. This thesis contributions concerns identification issue and electric arc fault detection on an energy distribution smart grid of HVDC network dedicated to avionic. The first line of this manuscript is exploratory. It covers behavioural observation and arc phenomenology in the grounded sphere of aeronautic (in particular emulated altitude by pressure). The second line of research deals with analysis, clarification and development of reliable approach of electric arc default detection through a central energy distribution on resistive charges. Five methods have been initiated throughout this thesis paper. They are based on several characteristic (time, frequency and time-frequency) of the line current. An indicator is produced at the end of each method. Subsequently, the indicator is used by a logic of discrimination according to each criterion. The non-deterministic behaviour of arc notably testing conditions (current, voltage, electrode materials, etc. makes detection difficult by a simple threshold on result of criteria. In this work, a new approach of arc fault discrimination is proposed. This used a proportional and variable threshold according to the current, load or noise variations from the system. The combined outcome of method results to a decision providing protection. To confirm experimentally proposed algorithms, a wide range database has been established. That included equally resistive and inductive signals with both arcs and load variations without arc fault so as to ensure that any detection is not mistakenly occurring. The upshot of this research work has been implemented in real time protection device prototype for HVDC +-270V smart-grid
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Submitted on : Monday, January 14, 2019 - 4:43:28 PM
Last modification on : Thursday, February 25, 2021 - 11:04:57 AM


  • HAL Id : tel-01980819, version 1


Jean-Baptiste Humbert. Étude et détection des défauts d’arcs électriques dans un réseau électrique aéronautique 270V HVDC. Energie électrique. Université de Lorraine, 2018. Français. ⟨NNT : 2018LORR0187⟩. ⟨tel-01980819⟩



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