• DocumentCode
    28360
  • Title

    The Healing Touch: Tools and Challenges for Smart Grid Restoration

  • Author

    Shanshan Liu ; Yunhe Hou ; Chen-Ching Liu ; Podmore, R.

  • Author_Institution
    Electr. Power Res. Inst. (EPRI), Palo Alto, CA, USA
  • Volume
    12
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan.-Feb. 2014
  • Firstpage
    54
  • Lastpage
    63
  • Abstract
    Effective system restoration is an important step toward a self-healing smart grid. in the future energy paradigm, with a high penetration of renewable resources and responsive demands, variability and uncertainty will affect power system operating and recovery technologies. Smart restoration provides an adaptive and optimized strategy with which to make restoration decisions, one that will reduce restoration time while maintaining system integrity. With the implementation of such decision support tools, the power grid will be better prepared and equipped to handle extreme events. They enable the streamlining of communication among all stakeholders, and they preserve knowledge and experience for future engineers.
  • Keywords
    decision support systems; power engineering computing; power system restoration; smart power grids; adaptive strategy; decision support tools; optimized strategy; power grid; renewable resources penetration; responsive demands; self-healing smart grid; smart grid restoration; Generators; Load modeling; Meteorology; Power grids; Power outages; Power system reliability; Power system restoration; Smart grids;
  • fLanguage
    English
  • Journal_Title
    Power and Energy Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1540-7977
  • Type

    jour

  • DOI
    10.1109/MPE.2013.2285609
  • Filename
    6684691