• DocumentCode
    1638683
  • Title

    Innovative smart grid control technologies

  • Author

    Venayagamoorthy, Ganesh Kumar

  • Author_Institution
    Real-Time Power & Intell. Syst. Lab., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The smart electric power grid will evolve into a very complex adaptive system under semi-autonomous distributed control. It will be spatially and temporally complex, non-convex, non-linear and non-stationary, with lots of variability and uncertainties beyond what the traditional power system experiences today. The distributed integration of intermittent sources of energy and energy storage to a power grid further adds complexity and challenges to modeling, control and optimization of the grid. Innovative control technologies are needed to handle the growing complexity of a smart grid, maximize the penetration of renewable energy, and provide maximum utilization of available energy storage, especially plug-in electric vehicles. In this panel paper, innovative control technologies, which are dynamic, stochastic, computational and scalable, and which show promise for achieving the goals of a smart grid, are presented.
  • Keywords
    power system control; smart power grids; stochastic systems; adaptive system; dynamic control; innovative control technology; scalable control; semiautonomous distributed control; smart electric power grid; smart grid control technology; stochastic control; Awards activities; Computational intelligence; Dynamic programming; Optimization; Power system dynamics; Smart grids; Vehicle dynamics; computational methods and intelligence; emission reductions; information technology; intelligent control; plug-in vehicles; smart grid; sustainable energy; virtual FACTS; wind farms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039883
  • Filename
    6039883