• DocumentCode
    162899
  • Title

    Experimental time domain harmonic state estimation using partial measurements

  • Author

    Molina-Moreno, Ismael ; Medina, Aurelio ; Cisneros-Magana, Rafael

  • Author_Institution
    Fac. de Ing. Electr., Univ. Michoacana de San Nicolas de Hidalgo, Morelia, Mexico
  • fYear
    2014
  • fDate
    7-9 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The harmonic state estimation analysis has been conventionally developed in the frequency domain. This methodology needs to measure the amplitude and phase angle of the harmonic components of the related waveforms. This paper presents an alternative time domain formulation based on a simplified network model and Kalman filter to assess the global harmonic steady state estimation. Measurements are sampled waveforms registered by a data acquisition system. The proposed methodology has been successfully tested on an experimental electric power test system developed in the laboratory. The reported case study consists of a three phase balanced system with a nonlinear load. An under-determined measurement model case has been tested. The results have been validated by direct comparison of the state estimation response against the actual data taken from laboratory experimental measurements and have also been compared against the simulated values obtained from Simulink®.
  • Keywords
    Kalman filters; data acquisition; power system harmonics; power system measurement; state estimation; Kalman filter; amplitude angle; data acquisition system; electric power test system; experimental time domain harmonic state estimation; harmonic state estimation analysis; nonlinear load; partial measurements; phase angle; Harmonic analysis; Power harmonic filters; State estimation; Time-domain analysis; Voltage measurement; Kalman filter; harmonics; state estimation; time domain; waveform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2014
  • Conference_Location
    Pullman, WA
  • Type

    conf

  • DOI
    10.1109/NAPS.2014.6965436
  • Filename
    6965436