• DocumentCode
    2953017
  • Title

    Measurement Uncertainty Considerations in Optimal Sensor Deployment for State Estimation

  • Author

    Chakrabarti, Saikat ; Eliades, Demetrios ; Kyriakides, Elias ; Albu, Mihaela

  • Author_Institution
    Univ. of Cyprus, Nicosia
  • fYear
    2007
  • fDate
    3-5 Oct. 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a method for optimal placement of phasor measurement units (PMUs) for measuring the states of a power system. A method to compute the measurement uncertainty associated with the estimated states is also illustrated in the paper. The PMU placement strategy ensures complete observability of the power system states for normal operating conditions, as well as under the loss of a single transmission line or even a single measurement unit. An integer quadratic programming approach is used to minimize the total number of PMUs required to make the system completely observable, and to maximize the measurement redundancy at the power system busses. The goal of the research is to take into account the measurement uncertainty while determining the optimal number and locations of the PMUs for state estimation. Simulation results on the IEEE 14-bus test system are presented in this paper.
  • Keywords
    integer programming; phase measurement; power system measurement; power system state estimation; quadratic programming; IEEE 14-bus test system; integer measurement quadratic programming approach; measurement uncertainty; optimal sensor deployment; phasor measurement units; power system observability; state estimation; transmission line; Measurement uncertainty; Measurement units; Observability; Phasor measurement units; Power measurement; Power system measurements; Power system simulation; Propagation losses; State estimation; Transmission line measurements; Measurement uncertainty; phasor measurement units; power system; state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on
  • Conference_Location
    Alcala de Henares
  • Print_ISBN
    978-1-4244-0829-0
  • Electronic_ISBN
    978-1-4244-0830-6
  • Type

    conf

  • DOI
    10.1109/WISP.2007.4447605
  • Filename
    4447605