• DocumentCode
    1726292
  • Title

    A unified algorithm for observability and redundancy analysis

  • Author

    Benedito, R.A.S. ; London, J. B A, Jr. ; Bretas, N.G.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Sao Paulo, Sao Carlos, Brazil
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper proposes a new algorithm that enables observability analysis (restoration and identification of observable islands) and identification of critical measurements and critical sets for observable or unobservable systems. The proposed algorithm is based on path graph concepts and triangular factorization of the Jacobian matrix, and has the following suitable characteristics for real-time operation: it is fast, simple, easy to implement and does not require solutions of any algebraic equation. Small numerical examples, using a 7 bus test system, that show the application of the proposed algorithm are presented. The IEEE 14, 30 and 57 bus systems with different measurement scenarios were used to evaluate the performance of the proposed algorithm.
  • Keywords
    Jacobian matrices; matrix decomposition; power grids; power system interconnection; power system measurement; power system protection; IEEE bus system; Jacobian matrix; critical measurements; critical sets; observability analysis; observable island identification; redundancy analysis; triangular factorization; unified algorithm; Algorithm design and analysis; Cascading style sheets; Collision mitigation; Equations; Jacobian matrices; Observability; Power measurement; Power system modeling; State estimation; System testing; Critical Measurements; Critical Sets; Observability Analysis; Path Graph Concepts; Redundancy Analysis; State Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5282246
  • Filename
    5282246