Multi-Agent Systems Society for Power and Energy Systems Simulation

A key challenge in the power and energy field is the development of decision-support systems that enable studying problems as a whole. The interoperability between multi-agent systems that address specific parts of the global problem is essential. Ontologies ease the interoperability between heterogeneous systems providing semantic meaning to the information exchanged between the various parties. The use of ontologies within Smart Grids has been proposed describing the basic concepts used in electricity transportation and distribution. However, these ontologies are focused on the needs from largesized players and operators. The development of ontologies that allow the representation of diverse knowledge sources is essential, aiming at supporting the interaction between systems of different natures, facilitating the interoperability between these systems. This paper proposes a set of ontologies to enable the interoperability between different types of agent-based simulators, namely regarding electricity markets, the smart grid, and residential energy management. A case study based on real data shows the advantages of the proposed approach in enabling comprehensive power system simulation studiesThis work has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAM-GO) and grant agreement No 703689 (project ADAPT). This work has also been supported by National funds by FCT in the scope of Gabriel Santos PhD (SFRH/BD/118487/2016