• DocumentCode
    1740351
  • Title

    Network observability: a fast topological approach to identify critical measurements

  • Author

    London, J. B A, Jr. ; Alberto, L.F.C. ; Bretas, N.G.

  • Author_Institution
    Escola Politecnica, Sao Paulo Univ., Brazil
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    583
  • Abstract
    This paper presents a new topological method for critical measurements identification in observable networks. A measurement is said to be critical, in observability sense, if its removal from the measurement set leads the associated system to lose observability. The proposed method is based on the properties of both, observable islands (OI) and redundant branch sets (RBS). To reduce the combinatorial bluster, the proposed method divides the measurements in two groups and classifies then in two phases. Indeed, it is simple and fast. In order to clarify the proposed method and to show its simplicity, two examples are provided. The proposed method is successfully tested in the IEEE-14 bus system and in two realistic systems of the Brazilian utilities. The first one is a 121-bus system from ELETROSUL, and the other is a 383-bus system from CHESF (Companhia Hidroeletrica do Sao Francisco)
  • Keywords
    control system analysis computing; graph theory; observability; power system analysis computing; power system control; power system measurement; power system state estimation; Brazil; IEEE-14 bus system; computer simulation; critical measurements identification; electric utilities; fast topological approach; observability; observable islands; power network observability; redundant branch sets; Availability; Explosions; Graph theory; Jacobian matrices; Observability; Phase measurement; Power system control; State estimation; Student members; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-6338-8
  • Type

    conf

  • DOI
    10.1109/ICPST.2000.897088
  • Filename
    897088