An adaptive multi-agent system for the distribution of intelligence in electrical distribution networks : state estimation

Abstract : Electricity plays an increasingly important role in our society. Indeed, we are moving toward the era of "everything electric". The needs evolving, it is mandatory to rethink the way electricity is produced and distributed. This then introduces the concept of an autonomous and intelligent power system called the Smart Grid. The Smart Grid is a concept of electrical network able to support autonomously any changes and faults that may occur. Obviously, the geographical distribution of electrical networks and the environment (weather conditions, ...) make it impossible to predict events that will occur. To do this, this study proposes an innovative agent-based framework as well as the design and implementation of cooperative agents behaviors aiming at solving common power systems related problems: the Load Flow analysis and the State Estimation. These issues have been addressed by the mean of Adaptive Multi-Agent Systems. These systems are known to be efficient to solve complex problems and have the ability to adapt their functioning to the evolutions of their environment. The results obtained show the relevance of using such self-adaptive systems to solve the issues inherent to the Smart Grid.
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Alexandre Perles. An adaptive multi-agent system for the distribution of intelligence in electrical distribution networks : state estimation. Artificial Intelligence [cs.AI]. Université Paul Sabatier - Toulouse III, 2017. English. ⟨NNT : 2017TOU30017⟩. ⟨tel-01743586⟩

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