Ontologies to Enable Interoperability of Multi-Agent Electricity Markets Simulation and Decision Support

This paper presents the AiD-EM Ontology, which provides a semantic representation of the concepts required to enable the interoperability between multi-agent-based decision support systems, namely AiD-EM, and the market agents that participate in electricity market simulations. Electricity markets’ constant changes, brought about by the increasing necessity for adequate integration of renewable energy sources, make them complex and dynamic environments with very particular characteristics. Several modeling tools directed at the study and decision support in the scope of the restructured wholesale electricity markets have emerged. However, a common limitation is identified: the lack of interoperability between the various systems. This gap makes it impossible to exchange information and knowledge between them, test different market models, enable players from heterogeneous systems to interact in common market environments, and take full advantage of decision support tools. To overcome this gap, this paper presents the AiD-EM Ontology, which includes the necessary concepts related to the AiD-EM multi-agent decision support system, to enable interoperability with easier cooperation and adequate communication between AiD-EM and simulated market agents wishing to take advantage of this decision support tool.This work has received funding from the EU Horizon 2020 research and innovation program under project TradeRES (grant agreement No 864276), from FEDER Funds through COMPETE program and from National Funds through (FCT) under projects CEECIND/01811/2017 and UID/EEA/00760/2019. Gabriel Santos was supported by the PhD grant SFRH/BD/118487/2016 from National Funds through FC