• DocumentCode
    2314864
  • Title

    A Review of Power System Dynamic State Estimation Techniques

  • Author

    Shivakumar, N.R. ; Jain, Amit

  • Author_Institution
    Power Syst. Res. Center, Int. Inst. of Inf. Technol. (IIIT), Hyderabad
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    State estimation is a key energy management system (EMS) function, responsible for estimating the state of the power system. Power system is a quasi-static system and hence changes slowly with time. Since state estimation is computationally expensive, it is not easy to execute it repetitively at short intervals to achieve real time monitoring of such a changing system. Dynamic state estimation (DSE) techniques model the time varying nature of the system, which allows it to predict the state vector in advance. This proves to be a major advantage for the operator in performing security analysis and other control center functions. Various techniques for dynamic state estimation are available in the literature. This paper presents a bird´s eye view on different methodologies and developments in DSE, based on our comprehensive survey of the available literature.
  • Keywords
    energy management systems; power system security; power system state estimation; energy management system; power system dynamic state estimation; quasi-static system; security analysis; Energy management; Medical services; Monitoring; Power system dynamics; Power system management; Power system modeling; Predictive models; Real time systems; State estimation; Time varying systems; dynamic state estimation; kalman filter; real time monitoring; square root filter; static state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4244-1763-6
  • Electronic_ISBN
    978-1-4244-1762-9
  • Type

    conf

  • DOI
    10.1109/ICPST.2008.4745312
  • Filename
    4745312