• DocumentCode
    3097307
  • Title

    A Novel Topological Approach to Examine Network Observability under a Contingency

  • Author

    Huang, Garng M. ; Lei, Jiansheng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A reliable state estimator to withstand a contingency becomes more and more important due to the increasing concerns on the network security in a deregulated power market. A novel topological approach is proposed in this paper to identify critical measurements and to examine network observability under a contingency, where the contingency can be any single branch outage or measurement loss. To advance the classical topological observability analysis, a new concept of contingency observability graph (COG) is introduced and it is proven that a power system network maintains its observability against a contingency if and only if its COG satisfies some conditions. With little extra computation load, the proposed COG based approach is a natural extension of the classical topological observability analysis for online applications. The IEEE 30-bus system is used to demonstrate the validity and efficiency of our approach.
  • Keywords
    network theory (graphs); network topology; observability; power markets; power system reliability; power system security; power system state estimation; IEEE 30-bus system; contingency observability graph; deregulated power market; power system network security; reliable state estimator; single branch outage; topological observability analysis; Fluid flow measurement; Loss measurement; Observability; Power markets; Power measurement; Power system analysis computing; Power system measurements; Power system reliability; State estimation; Voltage; Contingency Observability Graph; Critical Measurement Identification; Network Observability under a Contingency; Network Security in Power Market; State Estimation; Topological Network Observability Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385856
  • Filename
    4275622