• DocumentCode
    3252501
  • Title

    Development of a stochastic system model for an information embedded power system

  • Author

    Carullo, S.P. ; Nwankpa, C.O.

  • Author_Institution
    Drexel Univ., Philadelphia, PA, USA
  • Volume
    3
  • fYear
    2002
  • fDate
    10-13 Dec. 2002
  • Firstpage
    2450
  • 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
    delays; measurement errors; observability; power system state estimation; stochastic systems; communication delays; delays; electrical power system; embedded computer network communication infrastructure; energy balance; information embedded power system; information variables; inherent embedded communication system; observability; power system measurement errors; steady-state conditions; stochastic system model development; 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7516-5
  • Type

    conf

  • DOI
    10.1109/CDC.2002.1184203
  • Filename
    1184203