• DocumentCode
    1585760
  • Title

    Framework for a self-healing power grid

  • Author

    Moslehi, K. ; Kumar, A.B.R. ; Shurtleff, D. ; Laufenberg, M. ; Bose, A. ; Hirsch, P.

  • Author_Institution
    ABB Network Manage., Santa Clara, CA, USA
  • fYear
    2005
  • Abstract
    A framework is presented for a high performance IT infrastructure for supporting a self-healing power grid. The need for such infrastructure is accentuated by high volatility and low operating margins driven by deregulation and other factors. This infrastructure is based on a distributed autonomous architecture and a set of coordinated closed loop controls. The architecture is modular and scalable from the viewpoint of organizational, geographical and functional aspects. Autonomous intelligent functional agents, distributed throughout the infrastructure, perform various functions required to address operating concerns. These functions include monitoring, performance and reliability enhancement, and control. The framework for coordinating these functions is based on multiple execution cycles that collectively cover real-time operations of the power grid starting from hour-ahead scheduling to rapid control of power system transients. The scalability of the design is demonstrated through a quantitative feasibility analysis using existing technologies for a very large example power grid.
  • Keywords
    closed loop systems; distributed control; distributed processing; multi-agent systems; power engineering computing; power grids; power system control; power system interconnection; software agents; autonomous intelligent functional agents; coordinated closed loop controls; distributed autonomous architecture; high performance IT infrastructure; hour-ahead scheduling; power system transients rapid control; self-healing power grid; Control systems; Intelligent agent; Monitoring; Power grids; Power system control; Power system reliability; Power system transients; Real time systems; Scalability; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2005. IEEE
  • Print_ISBN
    0-7803-9157-8
  • Type

    conf

  • DOI
    10.1109/PES.2005.1489709
  • Filename
    1489709