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Distributed Semantic Architecture for Smart Grids

Author

Listed:
  • Yoseba K. Penya

    (Deusto Institute of Technology, University of Deusto, Avenida de las Universidades 24, Vizcaya, 48007 Bilbao, Spain)

  • Juan Carlos Nieves

    (Department of Computing Sciences, Umeå University, Umeå SE-901 87, Sweden)

  • Angelina Espinoza

    (Electrical Engineering Department, Metropolitan Autonomous University, Delegacin Tlalpan, Mexico City 09340, Mexico)

  • Cruz E. Borges

    (Deusto Institute of Technology, University of Deusto, Avenida de las Universidades 24, Vizcaya, 48007 Bilbao, Spain)

  • Aitor Peña

    (Deusto Institute of Technology, University of Deusto, Avenida de las Universidades 24, Vizcaya, 48007 Bilbao, Spain)

  • Mariano Ortega

    (Indra Systems Inc., 35 Avenida De Bruselas, Alcobendas, Madrid 28108, Spain)

Abstract

The smart grid revolution demands a huge effort in redesigning and enhancing current power networks, as well as integrating emerging scenarios such as distributed generation, renewable energies or the electric vehicle. This novel situation will cause a huge flood of data that can only be handled, processed and exploited in real-time with the help of cutting-edge ICT (Information and Communication Technologies). We present here a new architecture that, contrary to the previous centralised and static model, distributes the intelligence all over the grid by means of individual intelligent nodes controlling a number of electric assets. The nodes own a profile of the standard smart grid ontology stored in the knowledge base with the inferred information about their environment in RDF triples. Since the system does not have a central registry or a service directory, the connectivity emerges from the view of the world semantically encoded by each individual intelligent node (i.e., profile + inferred information). We have described a use-case both with and without real-time requirements to illustrate and validate this novel approach.

Suggested Citation

  • Yoseba K. Penya & Juan Carlos Nieves & Angelina Espinoza & Cruz E. Borges & Aitor Peña & Mariano Ortega, 2012. "Distributed Semantic Architecture for Smart Grids," Energies, MDPI, vol. 5(11), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:11:p:4824-4843:d:21597
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    Citations

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    Cited by:

    1. Ying Fan & Weixia Zhu & Zhongbing Xue & Li Zhang & Zhixiang Zou, 2015. "A Multi-Function Conversion Technique for Vehicle-to-Grid Applications," Energies, MDPI, vol. 8(8), pages 1-16, July.
    2. Tuballa, Maria Lorena & Abundo, Michael Lochinvar, 2016. "A review of the development of Smart Grid technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 710-725.
    3. Norouzi, Farshid & Hoppe, Thomas & Elizondo, Laura Ramirez & Bauer, Pavol, 2022. "A review of socio-technical barriers to Smart Microgrid development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. João Gião & João Sarraipa & Ricardo Jardim-Goncalves, 2015. "Semantic Architecture for Sensors," IET Working Papers Series 06/2015, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
    5. Rubén De Diego & José-Fernán Martínez & Jesús Rodríguez-Molina & Alexandra Cuerva, 2014. "A Semantic Middleware Architecture Focused on Data and Heterogeneity Management within the Smart Grid," Energies, MDPI, vol. 7(9), pages 1-42, September.
    6. Cruz E. Borges & Yoseba K. Penya & Iván Fernández & Juan Prieto & Oscar Bretos, 2013. "Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings," Energies, MDPI, vol. 6(4), pages 1-20, April.

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