A Generic Ontology-Based Information Model for Better Management of Microgrids

Abstract : In this “renewable era”, researchers’ eyes are diverted to the Microgrids (emerging power systems consisting of a number of heterogeneous components including renewable and non-renewable energy sources, storage systems and energy loads) to exploit their functionalities in order to improve today’s power systems. This work addresses two significant issues encountered in the Microgrid (MG) management systems: 1) the semantic interoperability, highlighting the need to ensure a seamless communication between several heterogeneous components, and 2) the multi-objective aspect of the MG, emphasizing the need to model all the aspects involved in the achievement of the MG objectives. Here, we propose OntoMG, a full-fledged Microgrid ontology, to resolve these two issues by providing an interoperable information model with existing standards and by modeling all the aspects/functionalities involved in the achievement of the MG objectives, namely: Identification, Operational, Mobility, Economical and Ecological. This research is undertaken in collaboration with Jema Irizar Group, leader of the ISare Microgrid Project, a real-size MG built in the Basque Country.
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11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Sep 2015, Bayonne, France. Springer, IFIP Advances in Information and Communication Technology, AICT-458, pp.451-466, 2015, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-23868-5_33〉
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Soumis le : vendredi 21 octobre 2016 - 14:45:20
Dernière modification le : mardi 10 juillet 2018 - 15:46:45

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Khouloud Salameh, Richard Chbeir, Haritza Camblong, Gilbert Tekli, Ionel Vechiu. A Generic Ontology-Based Information Model for Better Management of Microgrids. 11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Sep 2015, Bayonne, France. Springer, IFIP Advances in Information and Communication Technology, AICT-458, pp.451-466, 2015, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-23868-5_33〉. 〈hal-01254493〉

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