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.
One characteristic of the Smart Grid is its ability to control itself. To do this, papers in literature suggest that the state of the controlled network should be estimated.
This paper proposes an agent-based architecture to enable the transition to the Smart Grid, a design and an implementation of agent behaviors aiming at solving the State Estimation problem. Based on the Adaptive Multi-Agent System theory, the developed system allows from local interactions between agents to estimate in a reasonable time and computational complexity the state of a distribution system.
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Perles, A., Camilleri, G., Gleizes, MP. (2017). Self-adaptive Distribution System State Estimation. In: Criado Pacheco, N., Carrascosa, C., Osman, N., Julián Inglada, V. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2016 2016. Lecture Notes in Computer Science(), vol 10207. Springer, Cham. https://doi.org/10.1007/978-3-319-59294-7_17
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DOI: https://doi.org/10.1007/978-3-319-59294-7_17
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