• DocumentCode
    578943
  • Title

    A non iterative method based on graph theoretic approach to solve meter placement problem for power system state estimation

  • Author

    Motiyani, R.J. ; Chudasama, A.R.

  • Author_Institution
    Dept. of Electr. Eng., V.B.T.I.T. & R.C., Bardoli, India
  • fYear
    2012
  • fDate
    18-20 July 2012
  • Firstpage
    275
  • Lastpage
    280
  • Abstract
    A new method based on graph theoretic approach is presented to solve the measurement placement problem for power system state estimation. The proposed method allows measurement placement without iterative additions. The measurement configurations are designed for IEEE 14 and 30 bus systems. Utilizing the proposed measurement system configuration the network observability is tested for P-θ and Q-V models by triangular factorization of the gain matrix. The designed metering scheme assures network observability and accomplishes better accuracy and bad data processing requirements for state estimator. The developed method can be used for measurement systems planning to maintain overall system observable even under branch contingencies and loss of measurements.
  • Keywords
    graph theory; matrix decomposition; power meters; power system measurement; power system planning; power system state estimation; IEEE bus systems; P-θ models; Q-V models; branch contingency; data processing; gain matrix triangular factorization; graph theoretic approach; measurement loss; measurement system configuration; measurement system planning; meter placement problem; metering scheme; network observability; noniterative method; power system state estimation; Measurement uncertainty; Observability; Power measurement; Power systems; State estimation; Transmission line measurements; Voltage measurement; bad data detection; meter placement; network observability; state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-2118-2
  • Type

    conf

  • DOI
    10.1109/ICIEA.2012.6360736
  • Filename
    6360736