Une approche de gestion de la maintenance de parcs éoliens centrée sur les systèmes multiagents

Miguel Kpakpo 1
1 MIND - LITIS - Equipe Multi-agent, Interaction, Décision
LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
Abstract : Optimization & maintenance in the Industrial sector covers different aspects according to the objectives set by the industrial operator. Their common goal is to reduce downtime and failures. For the windfarm operators the goal is to ensure the wind farms high availibility. We went one step further by asking the question of the efficiency of maintenance costs and the profitability. The answer to this question comes from the results of a cost function associated to a simulation model based on multiagents systems. The choice of the multiagent paradigm is motivated by the use of MAS for other simulation purposes and the fact that they guarantee a kind of flexibility regarding the evolution in a moving business context. This Phd thesis focuses on a multi-agent systems model designed to improve the management of wind farms through the definition of a set of financial criteria specific to the wind farm operators.
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Submitted on : Thursday, July 4, 2019 - 2:11:32 PM
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Miguel Kpakpo. Une approche de gestion de la maintenance de parcs éoliens centrée sur les systèmes multiagents. Intelligence artificielle [cs.AI]. Normandie Université, 2018. Français. ⟨NNT : 2018NORMIR33⟩. ⟨tel-02173351⟩



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