• DocumentCode
    1700182
  • Title

    Process-oriented State Estimation using Innovation Network Graph Based PMUs

  • Author

    Bai, Hong ; Guo, Zhizhong ; Zhao, Lin ; Gao, Yu ; Chen, He

  • Author_Institution
    Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The advent of PMU-based WAMS provides a chance to improve the traditional state estimation, AC load flow model innovation (network) graph state estimation based PMUs is a new but effective estimation algorithm. By using it, this paper carries out process-oriented state estimation using all the measurements within a period of time, which can provide characteristic states within a process of time. In order to develop the new method, the operating process is divided into several processes and sub-processes according to the topology change. In each process or sub-process, a characteristic state is derived which can represent the average status of this process or sub- process. In order to compute the expected states, an expected innovation network graph is derived. The IEEE-5 bus system is used to illustrate the effectiveness of the new method.
  • Keywords
    graph theory; load flow; power system measurement; state estimation; wide area networks; AC load flow model innovation; IEEE-5 bus system; PMU; WAMS; innovation network graph; process-oriented state estimation; Computer networks; Fluid flow measurement; Load flow; Load modeling; Network topology; Phasor measurement units; Power system modeling; State estimation; Technological innovation; Time measurement; Innovation network graph; PMU; process-oriented state estimation; topology change;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2006. PowerCon 2006. International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    1-4244-0110-0
  • Electronic_ISBN
    1-4244-0111-9
  • Type

    conf

  • DOI
    10.1109/ICPST.2006.321729
  • Filename
    4115945