Abstract
The complexity and intelligence of energy systems has increased in the recent years, whereas using Multi-agent Systems (MAS) has been recommended by IEEE for developing software solutions for modeling, controlling, and simulating their behaviors. Existing proposals on MAS solutions for energy systems proposed ad-hoc solutions for resolving specific problems, 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. The proposed methodology 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. Our proposal has been validated by means of a well-known test case from the literature.
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Ben Romdhane, L., Sleiman, H.A., Dhouib, S., Mraidha, C. (2018). A Model Driven Methodology for Developing Multi Agent Solutions for Energy Systems. In: Belardinelli, F., Argente, E. (eds) Multi-Agent Systems and Agreement Technologies. EUMAS AT 2017 2017. Lecture Notes in Computer Science(), vol 10767. Springer, Cham. https://doi.org/10.1007/978-3-030-01713-2_5
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