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Conference Papers Year : 2018

Multi-agent solutions for energy systems: A model driven approach

Abstract

The complexity and intelligence of energy systems has increased in the recent years, whereas using Multi-agents system (MAS) technology has been recommended by IEEE for developing software solutions for modeling, controlling, and simulating their behaviors. Available MAS solutions for energy systems are generally designed for resolving specific problems by proposing ad-hoc solutions, without considering interoperability and reusability. We propose a methodology, based on the Model-Driven Engineering (MDE) technique, for developing MAS solutions for energy systems. Our methodology uses the Common Information Model standard (CIM), recommended by IEEE, and the existing Platform Independent agent metamodel PIM4Agents. Our proposal allows modeling MAS solutions for power engineering applications, by means of a platform independent model that abstracts developers from existing agent-oriented methodologies and platforms. Applying model transformations, the generated models can be transformed and executed within several agent platforms such as JACK and JADE. The proposal has been partially validated by means of a well-known test case.
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Dates and versions

cea-01923395 , version 1 (15-11-2018)

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Lamia Ben Romdhane, Hassan Sleiman, Chokri Mraidha, Saadia Dhouib. Multi-agent solutions for energy systems: A model driven approach. 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep 2017, Limassol, Cyprus. pp.8247715, ⟨10.1109/ETFA.2017.8247715⟩. ⟨cea-01923395⟩
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