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Towards a Robust, Distributed and Decentralised Smart Energy Management of Microgrids

Sandra Garcia Rodriguez 1, * Hassan Sleiman 1 
* Corresponding author
1 LI3A - Intelligence Artificielle et Apprentissage Automatique
DM2I - Département Métrologie Instrumentation & Information : DRT/LIST/DM2I
Abstract : Modern energy systems comprise different entities that interact to allow an intelligent production, distribution, and consumption of energy. They need efficient and distributed demand-response management mechanisms to find optimised configurations of parameters of the grid components. When working with time schedules, optimisation algorithms used for this purpose usually rely on forecasts. However, forecasts bring uncertainty, which is rarely considered in optimisation. This work presents a robust and decentralised optimisation approach that deals also with such uncertainty by searching for optimal power schedule solutions, which are also reliable in unexpected circumstances. Based on message passing, our approach uses meta-heuristics for performing local optimisations. The implementation and validation of our proposal was conducted by means of a distributed multi-agent system, where the obtained results have shown the efficiency of our approach
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Submitted on : Thursday, February 10, 2022 - 12:41:35 PM
Last modification on : Thursday, February 17, 2022 - 10:08:06 AM
Long-term archiving on: : Wednesday, May 11, 2022 - 6:35:04 PM


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  • HAL Id : cea-03564284, version 1


Sandra Garcia Rodriguez, Hassan Sleiman. Towards a Robust, Distributed and Decentralised Smart Energy Management of Microgrids. 14th International Conference on Agents and Artificial Intelligence (ICAART 2022), Feb 2022, online, France. pp.81. ⟨cea-03564284⟩



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