• DocumentCode
    1949891
  • Title

    Research on heterogeneous data integration for Smart Grid

  • Author

    Lu, Bin ; Song, Wei

  • Author_Institution
    Dept. of Comput. Sci., North China Electr. Power Univ., Baoding, China
  • Volume
    3
  • fYear
    2010
  • fDate
    9-11 July 2010
  • Firstpage
    52
  • Lastpage
    56
  • Abstract
    Compared with the traditional power grid, Smart Grid can improve the reliability and availability of the entire grid, while it continues to reduce the costs and improve the efficiency. It is getting more and more attentions, the characteristics of integration and interaction require the exchanging and sharing of the information, as well as the seamless connection of various parts. The Ontology as a shared conceptual model and formal specification provides a good way to resolve the semantic heterogeneity problem. By the research of past means of heterogeneous data integration, combined with the current status of the grid, a model of heterogeneous data integration is proposed to adapt the future Smart Grid. Based on XML and Ontology, combined with Cloud services, This model provides a good method to solve the heterogeneous problem from the syntax and sematics. Finally, SCADA(Supervisory Control and Data Acquisition) data is used to validate the model.
  • Keywords
    SCADA systems; XML; ontologies (artificial intelligence); power engineering computing; smart power grids; SCADA; XML; cloud services; heterogeneous data integration; ontology; semantic heterogeneity problem; smart grid; supervisory control and data acquisition; Argon; Bismuth; Clouds; Medical services; Smart grids; Telemetry; XML; Cloud services; Heterogeneous data; Ontology; SCADA; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5537-9
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2010.5564620
  • Filename
    5564620