• DocumentCode
    3599433
  • Title

    Adaptive prediction and control of harmonic signals in electric power systems

  • Author

    Amirazodi, Javid ; Yaz, Edwin E. ; Olejniczak, Kraig J.

  • Author_Institution
    Dept. of Electr. Eng., Arkansas Univ., Fayetteville, AR, USA
  • Volume
    1
  • fYear
    1996
  • Firstpage
    677
  • Abstract
    The objective of this work is to reduce the negative effects of harmonic signals in electric power distribution systems. The unknown time-varying magnitudes and phase angles of harmonics are modeled as parameters in an ARMAX model. Adaptive predictors are used to estimate future values of the harmonic components in load currents. Having the prediction of the harmonic component of the load current available in advance, the compensation can be done at the correct time with minimum amount of mismatch between the load current and the compensated current. Due to different computation and implementation time requirements, experimentation with predictors having different “look-ahead” horizons is carried out. Results of simulations with one- and two-step-ahead predictions are presented
  • Keywords
    adaptive control; autoregressive moving average processes; compensation; distribution networks; load forecasting; power system control; power system harmonics; prediction theory; ARMAX model; adaptive prediction; compensation; electric power distribution systems; harmonic signal control; load currents; look-ahead horizons; one-step-ahead prediction; phase angles; time-varying magnitudes; two-step-ahead prediction; Adaptive control; Automatic voltage control; Control systems; Power harmonic filters; Power quality; Power system harmonics; Power system modeling; Power system reliability; Power system simulation; Programmable control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
  • Print_ISBN
    0-7803-3073-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1996.540038
  • Filename
    540038