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SSG: An Ontology-Based Information Model for Smart Grids

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XL

Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 11360))

Abstract

Nowadays, an electricity blackout can have a domino effect on the overall power system, causing extremely bad effects on the economical, ecological and operational countries perspectives. All this emphasizes the need for conceiving an upgraded vision of today’s and tomorrow’s power systems that have to be smart to meet the society expectations. Smart grids have been emerging as an appropriate solution for such needs. This work addresses two main related challenges encountered in the management of such power systems: (1) the semantic interoperability needed between their heterogeneous components in order to ensure seamless communication and integration, and (2) a means to consider their various objectives from economical, ecological, and operational perspectives, to mention some. In this paper, we propose a three-layered smart grid management framework, aiming at resolving these two issues. The backbone of the framework is SSG, a generic ontology-based model, detailed here. It aims at modeling the smart grid components, their features and properties, allowing the achievement of the smart grid objectives. Several evaluations have been conducted in order to validate our proposed framework and emphasize the SSG importance and utility in the energy domain. Obtained results are satisfactory and draw several promising perspectives.

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Notes

  1. 1.

    https://github.com/usnistgov/facility.

  2. 2.

    http://spider.sigappfr.org/research-projects/ontomg/.

  3. 3.

    http://www.hit2gap.eu.

  4. 4.

    http://www.buildingsmart-tech.org/specifications/ifc-overview.

  5. 5.

    https://www.w3.org/2005/Incubator/ssn/ssnx/ssn.

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Author information

Authors and Affiliations

  1. American University of Ras Al Khaimah, Ras Al Khaimah, UAE

    Khouloud Salameh

  2. Univ. Pau & Adour Countries, E2S-UPPA, LIUPPA, EA3000, 64600, Anglet, France

    Richard Chbeir

  3. University of the Basque Country, 20018, Donostia, Spain

    Haritza Camblong

Authors
  1. Khouloud Salameh
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  2. Richard Chbeir
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  3. Haritza Camblong
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Corresponding author

Correspondence to Richard Chbeir .

Editor information

Editors and Affiliations

  1. IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  2. FAW, University of Linz, Linz, Austria

    Roland Wagner

  3. IRIT, Paul Sabatier University, Toulouse, France

    Franck Morvan

  4. IRIT, Paul Sabatier University, Toulouse, France

    Lynda Tamine

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Salameh, K., Chbeir, R., Camblong, H. (2019). SSG: An Ontology-Based Information Model for Smart Grids. In: Hameurlain, A., Wagner, R., Morvan, F., Tamine, L. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems XL. Lecture Notes in Computer Science(), vol 11360. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-58664-8_4

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  • DOI: https://doi.org/10.1007/978-3-662-58664-8_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-58663-1

  • Online ISBN: 978-3-662-58664-8

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