• DocumentCode
    142148
  • Title

    An improved initial guess of Newton method for hybrid state estimation

  • Author

    Rakpenthai, Chawasak ; Uatrongjit, Sermsak

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Phayao, Phayao, Thailand
  • Volume
    3
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    1502
  • Lastpage
    1506
  • Abstract
    The hybrid state estimation of a power system, where the measured data consist of both conventional measurements and synchronizing phasor measurements, is generally formulated as a nonlinear optimization problem. It is then solved by Newton based iteration procedure whose success depends on an appropriate initial guess. This paper presents an improved method for selecting a suitable initial solution for this problem. All data obtained from both conventional and synchronizing phasor measurements are employed to estimate the initial guess. Numerical results on the IEEE 14-bus and 57-bus systems indicate that the proposed technique provides better convergence performance than the method previously proposed in Ref. [5].
  • Keywords
    Newton method; nonlinear programming; phasor measurement; power system state estimation; system buses; IEEE 14-bus system; IEEE 57-bus system; Newton based iteration procedure; Newton method; conventional measurement; convergence performance; hybrid state estimation; nonlinear optimization problem; power system; synchronizing phasor measurement; Current measurement; Phase measurement; Phasor measurement units; Power measurement; Power systems; Transmission line measurements; Voltage measurement; Initial guess; hybrid state estimation; synchronizing phasor measurement; weighted least square;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6946171
  • Filename
    6946171