• DocumentCode
    580140
  • Title

    Towards Reliable Smart Microgrid Behavior Using Runtime Model Synthesis

  • Author

    Allison, Mark ; Morris, Karl A. ; Yang, Zhenyu ; Clarke, Peter J. ; Costa, Fábio M.

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA
  • fYear
    2012
  • fDate
    25-27 Oct. 2012
  • Firstpage
    185
  • Lastpage
    192
  • Abstract
    The dominant paradigm of centralized power generation, characterized by heavy transmission losses, is being slowly replaced by the smart micro grid, which promises the proliferation of renewable and distributed energy sources. Micro grid reliability is a well established theme as assurance requirements are inherited from the larger smart grid. In this paper we describe how user defined domain-specific micro grid models can be synthesized using runtime model analysis thereby supporting stability in the micro grid plant. This analysis includes model reconciliation which produces a list of model changes that are then interpreted to control the plant via executable control scripts. To demonstrate the efficacy and applicability of our approach, we apply it to a typical scenario in the energy management domain and prove the concept utilizing a smart micro grid prototype test bed.
  • Keywords
    distributed power generation; power generation reliability; renewable energy sources; smart power grids; centralized power generation; distributed energy sources; energy management domain; executable control scripts; microgrid plant; renewable energy sources; runtime model synthesis; smart microgrid behavior reliability; transmission losses; user-defined domain-specific microgrid models; Adaptation models; Load modeling; Runtime; Syntactics; Unified modeling language; High Assurance; Microgrid; Model Management; Model-Driven Development; Runtime Models; SmartGrid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High-Assurance Systems Engineering (HASE), 2012 IEEE 14th International Symposium on
  • Conference_Location
    Omaha, NE
  • ISSN
    1530-2059
  • Print_ISBN
    978-1-4673-4742-6
  • Type

    conf

  • DOI
    10.1109/HASE.2012.37
  • Filename
    6375616