• DocumentCode
    985414
  • Title

    Experimental validation of a model for an information-embedded power system

  • Author

    Carullo, Stephen P. ; Nwankpa, Chika O.

  • Author_Institution
    Raytheon Integrated Defense Syst., Tewksbury, MA, USA
  • Volume
    20
  • Issue
    3
  • fYear
    2005
  • fDate
    7/1/2005 12:00:00 AM
  • Firstpage
    1853
  • Lastpage
    1863
  • Abstract
    This paper develops a model of an electrical power system with its inherent embedded communication system for the purpose of studying the characteristics of power system measurement errors due to communication delays. This model is referred to as an "information-embedded power system" to emphasize the inclusion of information variables that represent measurements that have been delivered across the communication system and observed at a control center. These information variables are added to the standard power system model for the energy balance within the power system. A stochastic system model is developed, which is composed of both the physical infrastructure of the power system as well as the embedded computer network communication infrastructure. This type of analysis is an extension of traditional observability approaches, which usually only assume steady-state conditions in the power system and do not consider time delays in delivering measurements. An experimental platform has also been designed to validate the developed model.
  • Keywords
    computer networks; delays; embedded systems; power engineering computing; power system measurement; stochastic systems; communication delays; control center; embedded computer network communication infrastructure; energy balance; information variables inclusion; information-embedded power system; observability approach; power system measurement errors; steady-state conditions; stochastic system model; time delays; Communication system control; Computer networks; Delay; Power measurement; Power system analysis computing; Power system control; Power system measurements; Power system modeling; Power systems; Stochastic systems; Computer-automated measurement and control (CAMAC); communication system traffic; computer network performance; delay effects; electric variables measurement; information systems; observability; power system modeling; supervisory control and data-acquisition (SCADA) systems;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2004.843454
  • Filename
    1458853